Boosting Classifiers for Music Genre Classification. - Ulas Bagci; Engin Erzin (ISCIS, 2005)

Multiresolution Elastic Medical Image Registration in Standard Intensity Scale. - Ulas Bagci; Li Bai 001 (SIBGRAPI, 2007)

Automatic Classification of Musical Genres Using Inter-Genre Similarity. - Ulas Bagci; Engin Erzin (IEEE Signal Process. Lett., 2007)

Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition. - Ulas Bagci; Li Bai 001 (ICIP, 2008)

Fully automatic 3D reconstruction of histological images. - Ulas Bagci; Li Bai 001 (ISBI, 2008)

Registration of standardized histological images in feature space. - Ulas Bagci; Li Bai 001 (Image Processing, 2008)

Inter Genre Similarity Modelling For Automatic Music Genre Classification - Ulas Bagci; Engin Erzin (CoRR, 2009)

3D automatic anatomy segmentation based on graph cut-oriented active appearance models. - Xinjian Chen 001; Jianhua Yao 001; Ying Zhuge; Ulas Bagci (ICIP, 2010)

The influence of intensity standardization on medical image registration. - Ulas Bagci; Jayaram K. Udupa; Li Bai 001 (Image-Guided Procedures, 2010)

3D automatic anatomy recognition based on iterative graph-cut-ASM. - Xinjian Chen 001; Jayaram K. Udupa; Ulas Bagci; Abass Alavi; Drew A. Torigian (Image-Guided Procedures, 2010)

Ball-scale based hierarchical multi-object recognition in 3D medical images. - Ulas Bagci; Jayaram K. Udupa; Xinjian Chen 001 (Image Processing, 2010)

The role of intensity standardization in medical image registration. - Ulas Bagci; Jayaram K. Udupa; Li Bai 001 (Pattern Recognit. Lett., 2010)

Automatic Best Reference Slice Selection for Smooth Volume Reconstruction of a Mouse Brain From Histological Images. - Ulas Bagci; Li Bai 001 (IEEE Trans. Medical Imaging, 2010)

A New Prior Shape Model for Level Set Segmentation. - Poay Hoon Lim; Ulas Bagci; Li Bai 001 (CIARP, 2011)

Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Tara N. Palmore; Anthony F. Suffredini; Daniel J. Mollura (EMBC, 2011)

A graph-theoretic approach for segmentation of PET images. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Evrim Turkbey; Omer Aras; Daniel J. Mollura (EMBC, 2011)

Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. - Jesus J. Caban; Jianhua Yao 001; Ulas Bagci; Daniel J. Mollura (EMBC, 2011)

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Anthony F. Suffredini; Tara N. Palmore; Daniel J. Mollura (MICCAI (3), 2011)

Intensity non-standardness affects computer recognition of anatomical structures. - Ulas Bagci; Jayaram K. Udupa; Xinjian Chen 001 (Image-Guided Procedures, 2011)

Orientation estimation of anatomical structures in medical images for object recognition. - Ulas Bagci; Jayaram K. Udupa; Xinjian Chen 001 (Image Processing, 2011)

Characterizing non-linear dependencies among pairs of clinical variables and imaging data. - Jesus J. Caban; Ulas Bagci; Alem Mehari; Shoaib Alam; Joseph R. Fontana; Gregory J. Kato; Daniel J. Mollura (EMBC, 2012)

Automatic quantification of Tree-in-Bud patterns from CT scans. - Ulas Bagci; Kirsten Miller-Jaster; Jianhua Yao 001; Albert Wu; Jesus Caban; Kenneth N. Olivier; Omer Aras; Daniel J. Mollura (ISBI, 2012)

A novel spinal vertebrae segmentation framework combining geometric flow and shape prior with level set method. - Poay Hoon Lim; Ulas Bagci; Omer Aras; Yan Wang 084; Li Bai 001 (ISBI, 2012)

Co-segmentation of Functional and Anatomical Images. - Ulas Bagci; Jayaram K. Udupa; Jianhua Yao 001; Daniel J. Mollura (MICCAI (3), 2012)

Computer-assisted detection of infectious lung diseases: A review. - Ulas Bagci; Mike Bray; Jesus Caban; Jianhua Yao 001; Daniel J. Mollura (Comput. Medical Imaging Graph., 2012)

Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]. - Ulas Bagci; Mike Bray; Jesus Caban; Jianhua Yao 001; Daniel J. Mollura (Comput. Medical Imaging Graph., 2012)

Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans. - Ulas Bagci; Jianhua Yao 001; Albert Wu; Jesus Caban; Tara N. Palmore; Anthony F. Suffredini; Omer Aras; Daniel J. Mollura (IEEE Trans. Biomed. Eng., 2012)

Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models. - Xinjian Chen 001; Jayaram K. Udupa; Ulas Bagci; Ying Zhuge; Jianhua Yao 001 (IEEE Trans. Image Process., 2012)

Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures. - Ulas Bagci; Xinjian Chen 001; Jayaram K. Udupa (IEEE Trans. Medical Imaging, 2012)

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. - Brent Foster; Ulas Bagci; Brian Luna; Bappaditya Dey; William Bishai; Sanjay Jain 002; Ziyue Xu 001; Daniel J. Mollura (ISBI, 2013)

A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Daniel J. Mollura (ISBI, 2013)

Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. - Ulas Bagci; Daniel J. Mollura (MICCAI (3), 2013)

Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Daniel J. Mollura (MICCAI (2), 2013)

Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. - Ulas Bagci; Kirsten Miller-Jaster; Kenneth N. Olivier; Jianhua Yao 001; Daniel J. Mollura (Comput. Biol. Medicine, 2013)

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. - Ulas Bagci; Jayaram K. Udupa; Neil Mendhiratta; Brent Foster; Ziyue Xu 001; Jianhua Yao 001; Xinjian Chen 001; Daniel J. Mollura (Medical Image Anal., 2013)

Introducing Willmore Flow Into Level Set Segmentation of Spinal Vertebrae. - Poay Hoon Lim; Ulas Bagci; Li Bai 001 (IEEE Trans. Biomed. Eng., 2013)

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. - Awais Mansoor; Ulas Bagci; Brent Foster; Ziyue Xu 001; Deborah Douglas; Jeffrey M. Solomon; Jayaram K. Udupa; Daniel J. Mollura (EMBC, 2014)

Near-optimal keypoint sampling for fast pathological lung segmentation. - Awais Mansoor; Ulas Bagci; Daniel J. Mollura (EMBC, 2014)

Efficient ribcage segmentation from CT scans using shape features. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Optimally Stabilized PET Image Denoising Using Trilateral Filtering. - Awais Mansoor; Ulas Bagci; Daniel J. Mollura (MICCAI (1), 2014)

Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. - Ziyue Xu 001; Ulas Bagci; Jurgen Seidel; David Thomasson; Jeffrey M. Solomon; Daniel J. Mollura (MICCAI (1), 2014)

A review on segmentation of positron emission tomography images. - Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu 001; Daniel J. Mollura (Comput. Biol. Medicine, 2014)

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. - Brent Foster; Ulas Bagci; Ziyue Xu 001; Bappaditya Dey; Brian Luna; William Bishai; Sanjay Jain 002; Daniel J. Mollura (IEEE Trans. Biomed. Eng., 2014)

A Generic Approach to Pathological Lung Segmentation. - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2014)

Highly precise partial volume correction for PET images: An iterative approach via shape consistency. - Ziyue Xu 001; Ulas Bagci; Mingchen Gao; Daniel J. Mollura (ISBI, 2015)

Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes. - Sarfaraz Hussein; Aileen Green; Arjun Watane; Georgios Z. Papadakis; Medhat M. Osman; Ulas Bagci (CoRR, 2015)

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Jayaram K. Udupa; Daniel J. Mollura (Medical Image Anal., 2015)

Correction to "A Generic Approach to Pathological Lung Segmentation". - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2015)

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. - Mario Buty; Ziyue Xu 001; Mingchen Gao; Ulas Bagci; Aaron Wu; Daniel J. Mollura (MICCAI (1), 2016)

Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. - Naji Khosravan; Haydar Celik; Baris Turkbey; Ruida Cheng; Evan S. McCreedy; Matthew J. McAuliffe; Sandra Bednarova; Elizabeth C. Jones; Xinjian Chen 001; Peter L. Choyke; Bradford J. Wood; Ulas Bagci (MCV/BAMBI@MICCAI, 2016)

Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm. - Yuwei Zhou; Uygar Teomete; Ozgür Dandin; Onur Osman; Taner Dandinoglu; Ulas Bagci; Weizhao Zhao (Comput. Biol. Medicine, 2016)

Atlas-based rib-bone detection in chest X-rays. - Sema Candemir; Stefan Jaeger 001; Sameer K. Antani; Ulas Bagci; Les R. Folio; Ziyue Xu 001; George R. Thoma (Comput. Medical Imaging Graph., 2016)

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. - Sarfaraz Hussein; Kunlin Cao; Qi Song 001; Ulas Bagci (IPMI, 2017)

TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. - Sarfaraz Hussein; Robert J. Gillies; Kunlin Cao; Qi Song 001; Ulas Bagci (ISBI, 2017)

Robust and fully automated segmentation of mandible from CT scans. - Neslisah Torosdagli; Denise K. Liberton; Payal Verma; Murat Sincan; Janice Lee; Sumanta N. Pattanaik; Ulas Bagci (ISBI, 2017)

Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. - Aliasghar Mortazi; Jeremy Burt; Ulas Bagci (STACOM@MICCAI, 2017)

CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN. - Aliasghar Mortazi; Rashed Karim; Kawal S. Rhode; Jeremy Burt; Ulas Bagci (MICCAI (2), 2017)

Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning. - Harish RaviPrakash; Milena Korostenskaja; Ki Lee; James Baumgartner 001; Eduardo Castillo; Ulas Bagci (SMC, 2017)

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning. - Dustin Morley; Hassan Foroosh; Saad Shaikh; Ulas Bagci (CoRR, 2017)

CorteXpert: A model-based method for automatic renal cortex segmentation. - Dehui Xiang; Ulas Bagci; Chao Jin; Fei Shi; Weifang Zhu; Jianhua Yao 001; Milan Sonka; Xinjian Chen 001 (Medical Image Anal., 2017)

Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. - Ivica Kopriva; Wei Ju 002; Bin Zhang 049; Fei Shi; Dehui Xiang; Kai Yu 009; Ximing Wang; Ulas Bagci; Xinjian Chen 001 (IEEE J. Biomed. Health Informatics, 2017)

Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. - Sarfaraz Hussein; Aileen Green; Arjun Watane; David A. Reiter; Xinjian Chen 001; Georgios Z. Papadakis; Bradford J. Wood; Aaron Cypess; Medhat M. Osman; Ulas Bagci (IEEE Trans. Medical Imaging, 2017)

Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis. - Naji Khosravan; Ulas Bagci (EMBC, 2018)

How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. - Maria J. M. Chuquicusma; Sarfaraz Hussein; Jeremy Burt; Ulas Bagci (ISBI, 2018)

Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. - Sarfaraz Hussein; Pujan Kandel; Juan E. Corral; Candice W. Bolan; Michael B. Wallace; Ulas Bagci (ISBI, 2018)

S4ND: Single-Shot Single-Scale Lung Nodule Detection. - Naji Khosravan; Ulas Bagci (MICCAI (2), 2018)

Automatically Designing CNN Architectures for Medical Image Segmentation. - Aliasghar Mortazi; Ulas Bagci (MLMI@MICCAI, 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. - Sarfaraz Hussein; Maria M. J. Chuquicusma; Pujan Kandel; Candice W. Bolan; Michael B. Wallace; Ulas Bagci (CoRR, 2018)

Capsules for Object Segmentation. - Rodney LaLonde; Ulas Bagci (CoRR, 2018)

End to End Brain Fiber Orientation Estimation using Deep Learning. - Nandakishore Puttashamachar; Ulas Bagci (CoRR, 2018)

Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems. - Enes Karaaslan; Ulas Bagci; F. Necati Catbas (CoRR, 2018)

Joint solution for PET image segmentation, denoising, and partial volume correction. - Ziyue Xu 001; Mingchen Gao; Georgios Z. Papadakis; Brian Luna; Sanjay Jain 002; Daniel J. Mollura; Ulas Bagci (Medical Image Anal., 2018)

Deep Learning for Functional Brain Connectivity: Are We There Yet? - Harish RaviPrakash; Arjun Watane; Sachin Jambawalikar; Ulas Bagci (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Deep Learning for Musculoskeletal Image Analysis. - Ismail Irmakci; Syed Muhammad Anwar; Drew A. Torigian; Ulas Bagci (ACSSC, 2019)

Classification of Perceived Human Stress using Physiological Signals. - Aamir Arsalan; Muhammad Majid; Syed Muhammad Anwar; Ulas Bagci (EMBC, 2019)

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. - Aasim Raheel; Muhammad Majid; Syed Muhammad Anwar; Ulas Bagci (EMBC, 2019)

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. - Syed Muhammad Anwar; Tooba Altaf; Khola Rafique; Harish RaviPrakash; Hassan Mohy-ud-Din; Ulas Bagci (RNO-AI@MICCAI, 2019)

PAN: Projective Adversarial Network for Medical Image Segmentation. - Naji Khosravan; Aliasghar Mortazi; Michael B. Wallace; Ulas Bagci (MICCAI (6), 2019)

INN: Inflated Neural Networks for IPMN Diagnosis. - Rodney LaLonde; Irene Tanner; Katerina Nikiforaki; Georgios Z. Papadakis; Pujan Kandel; Candice W. Bolan; Michael B. Wallace; Ulas Bagci (MICCAI (5), 2019)

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. - Yucheng Liu 003; Naji Khosravan; Yulin Liu; Joseph N. Stember; Jonathan Shoag; Ulas Bagci; Sachin Jambawalikar (DART/MIL3ID@MICCAI, 2019)

Weakly Supervised Segmentation by a Deep Geodesic Prior. - Aliasghar Mortazi; Naji Khosravan; Drew A. Torigian; Sila Kurugol; Ulas Bagci (MLMI@MICCAI, 2019)

Instance-Level Microtubule Segmentation Using Recurrent Attention. - Samira Masoudi; Afsaneh Razi; Cameron H. G. Wright; Jesse C. Gatlin; Ulas Bagci (CoRR, 2019)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Relational Reasoning Network (RRN) for Anatomical Landmarking. - Neslisah Torosdagli; Mary McIntosh; Denise K. Liberton; Payal Verma; Murat Sincan; Wade W. Han; Janice S. Lee; Ulas Bagci (CoRR, 2019)

Electroencephalography based Classification of Long-term Stress using Psychological Labeling. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Humaira Khalid; Muhammad Majid; Ulas Bagci (CoRR, 2019)

Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. - Rodney LaLonde; Drew A. Torigian; Ulas Bagci (CoRR, 2019)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. - Joseph N. Stember; Haydar Celik; Elizabeth A. Krupinski; Peter D. Chang; Simukayi Mutasa; Bradford J. Wood; A. Lignelli; Gul Moonis; Lawrence H. Schwartz; Sachin Jambawalikar; Ulas Bagci (J. Digit. Imaging, 2019)

A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. - Naji Khosravan; Haydar Celik; Baris Turkbey; Elizabeth C. Jones; Bradford J. Wood; Ulas Bagci (Medical Image Anal., 2019)

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (Medical Image Anal., 2019)

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. - Ismail Irmakci; Sarfaraz Hussein; Aydogan Savran; Rita R. Kalyani; David A. Reiter; Chee W. Chia; Kenneth W. Fishbein; Richard G. S. Spencer; Luigi Ferrucci; Ulas Bagci (IEEE Trans. Biomed. Eng., 2019)

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. - Hrvoje Bogunovic; Freerk G. Venhuizen; Sophie Klimscha; Stefanos Apostolopoulos; Alireza Bab-Hadiashar; Ulas Bagci; Mirza Faisal Beg; Loza Bekalo; Qiang Chen 004; Carlos Ciller; Karthik Gopinath; Amirali K. Gostar; et al. (IEEE Trans. Medical Imaging, 2019)

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. - Sarfaraz Hussein; Pujan Kandel; Candice W. Bolan; Michael B. Wallace; Ulas Bagci (IEEE Trans. Medical Imaging, 2019)

Deep Geodesic Learning for Segmentation and Anatomical Landmarking. - Neslisah Torosdagli; Denise K. Liberton; Payal Verma; Murat Sincan; Janice S. Lee; Ulas Bagci (IEEE Trans. Medical Imaging, 2019)

Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality. - Milena Korostenskaja; Harish Raviprakash; Ulas Bagci; Ki H. Lee; P. C. Chen; Christoph Kapeller; C. Salinas; M. Westerveld; Anca L. Ralescu; J. Xiang; James Baumgartner 001; M. Elsayed; et al. (Brain-Computer Interface Research (7), 2019)

Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. - Samira Masoudi; Syed Muhammad Anwar; Stephanie A. Harmon; Peter L. Choyke; Baris Turkbey; Ulas Bagci (EMBC, 2020)

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. - Francesca Murabito; Simone Palazzo; Federica Proietto Salanitri; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. - Simone Palazzo; Giovanni Bellitto; Luca Prezzavento; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Variational Capsule Encoder. - Harish RaviPrakash; Syed Muhammad Anwar; Ulas Bagci (ICPR, 2020)

Diagnosing Colorectal Polyps in the Wild with Capsule Networks. - Rodney LaLonde; Pujan Kandel; Concetto Spampinato; Michael B. Wallace; Ulas Bagci (ISBI, 2020)

Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. - Rodney LaLonde; Drew A. Torigian; Ulas Bagci (MICCAI (1), 2020)

Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features. - Asma Shaheen; Stefano Burigat; Ulas Bagci; Hassan Mohy-ud-Din (MLCN/RNO-AI@MICCAI, 2020)

Brain Tumor Survival Prediction Using Radiomics Features. - Sobia Yousaf; Syed Muhammad Anwar; Harish RaviPrakash; Ulas Bagci (MLCN/RNO-AI@MICCAI, 2020)

State-of-the-Art in Brain Tumor Segmentation and Current Challenges. - Sobia Yousaf; Harish RaviPrakash; Syed Muhammad Anwar; Nosheen Sohail; Ulas Bagci (MLCN/RNO-AI@MICCAI, 2020)

Capsules for Biomedical Image Segmentation. - Rodney LaLonde; Ziyue Xu 001; Sanjay Jain 002; Ulas Bagci (CoRR, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification. - Sumit Laha; Rodney LaLonde; Austin E. Carmack; Hassan Foroosh; John C. Olson; Saad Shaikh; Ulas Bagci (Frontiers Comput. Sci., 2020)

EEG Based Classification of Long-Term Stress Using Psychological Labeling. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Humaira Khalid; Muhammad Majid; Ulas Bagci (Sensors, 2020)

Instance-Level Microtubule Tracking. - Samira Masoudi; Afsaneh Razi; Cameron H. G. Wright; Jesse C. Gatlin; Ulas Bagci (IEEE Trans. Medical Imaging, 2020)

Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach*. - Can Zheng; Xinlu Chen; Bach Thanh Nguyen; Pia Sanpitak; Jasmine Vu; Ulas Bagci; Laleh Golestanirad (EMBC, 2021)

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. - Samira Masoudi; Stephanie A. Harmon; Sherif Mehralivand; Nathan Lay; Ulas Bagci; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 2021)

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. - Carmelo Pino; Simone Palazzo; Francesca Trenta; Francesca Cordero; Ulas Bagci; Francesco Rundo; Sebastiano Battiato; Daniela Giordano; Marco Aldinucci; Concetto Spampinato (ISBI, 2021)

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. - Ugur Demir; Ismail Irmakci; Elif Keles; Ahmet Topcu; Ziyue Xu 001; Concetto Spampinato; Sachin Jambawalikar; Evrim Turkbey; Baris Turkbey; Ulas Bagci (MLMI@MICCAI, 2021)

Hierarchical 3D Feature Learning forPancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MLMI@MICCAI, 2021)

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. - Samira Masoudi; Sherif Mehralivand; Stephanie A. Harmon; Nathan Lay; Liza Lindenberg; Esther Mena; Peter A. Pinto; Deborah E. Citrin; James L. Gulley; Bradford J. Wood; William L. Dahut; Ravi A. Madan; et al. (IEEE Access, 2021)

Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. - Ali Nawaz; Syed Muhammad Anwar; Rehan Liaqat; Javid Iqbal; Ulas Bagci; Muhammad Majid (CoRR, 2021)

Hierarchical 3D Feature Learning for Pancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (CoRR, 2021)

Capsules for biomedical image segmentation. - Rodney LaLonde; Ziyue Xu 001; Ismail Irmakci; Sanjay Jain 002; Ulas Bagci (Medical Image Anal., 2021)

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning. - Amir Emad Marvasti; Ehsan Emad Marvasti; Ulas Bagci; Hassan Foroosh (IEEE Trans. Artif. Intell., 2021)

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. - Abhishek Srivastava; Nikhil Kumar Tomar; Ulas Bagci; Debesh Jha (CBMS, 2022)

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. - Nikhil Kumar Tomar; Abhishek Srivastava; Ulas Bagci; Debesh Jha (CBMS, 2022)

Multi-Contrast MRI Segmentation Trained on Synthetic Images. - Ismail Irmakci; Zeki Emre Unel; Nazli Ikizler-Cinbis; Ulas Bagci (EMBC, 2022)

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. - Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato (EMBC, 2022)

Transformer Based Generative Adversarial Network for Liver Segmentation. - Ugur Demir; Zheyuan Zhang; Bin Wang 068; Matthew Antalek; Elif Keles; Debesh Jha; Amir Borhani; Daniela P. Ladner; Ulas Bagci (ICIAP Workshops, 2022)

Video Analytics in Elite Soccer: A Distributed Computing Perspective. - Debesh Jha; Ashish Rauniyar; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen; Ulas Bagci (SAM, 2022)

Detecting COVID-19 from respiratory sound recordings with transformers. - Idil Aytekin; Onat Dalmaz; Haydar Ankishan; Emine Ulku Saritas; Ulas Bagci; Tolga Çukur; Haydar Celik (Computer-Aided Diagnosis, 2022)

Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. - Abhishek Srivastava; Debesh Jha; Bulent Aydogan; Mohamed E. Abazeed; Ulas Bagci (HECKTOR@MICCAI, 2022)

TGANet: Text-Guided Attention for Improved Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci; Sharib Ali (MICCAI (3), 2022)

Dynamic Linear Transformer for 3D Biomedical Image Segmentation. - Zheyuan Zhang; Ulas Bagci (MLMI@MICCAI, 2022)

Enhancing organ at risk segmentation with improved deep neural networks. - Ilkin Isler; Curtis Lisle; Justin Rineer; Patrick Kelly; Damla Turgut; Jacob Ricci; Ulas Bagci (Image Processing, 2022)

Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem. - Amir Emad Marvasti; Ehsan Emad Marvasti; Ulas Bagci (CoRR, 2022)

TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. - Nikhil Kumar Tomar; Annie Shergill; Brandon Rieders; Ulas Bagci; Debesh Jha (CoRR, 2022)

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. - Abhishek Srivastava; Debesh Jha; Elif Keles; Bulent Aydogan; Mohamed Abazeed; Ulas Bagci (CoRR, 2022)

Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review. - Fikret Necati Catbas; Furkan Luleci; Mahta Zakaria; Ulas Bagci; Joseph J. LaViola; Carolina Cruz-Neira; Dirk Reiners (Sensors, 2022)

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. - Syed Muhammad Anwar; Ismail Irmakci; Drew A. Torigian; Sachin Jambawalikar; Georgios Z. Papadakis; Can Akgun; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci (J. Signal Process. Syst., 2022)

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. - Armstrong Aboah; Ulas Bagci; Abdul Rashid Mussah; Neema Jakisa Owor; Yaw Adu-Gyamfi (CVPR Workshops, 2023)

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. - Armstrong Aboah; Bin Wang 068; Ulas Bagci; Yaw Adu-Gyamfi (CVPR Workshops, 2023)

Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs. - Merey Sarsengeldin; Sanim Imatayeva; Nurmukhamed Abeuov; Myrzakhan Naukhanov; Abdullah Said Erdogan; Debesh Jha; Ulas Bagci (eIT, 2023)

An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. - Abhishek Srivastava; Debesh Jha; Elif Keles; Bulent Aydogan; Mohamed Abazeed; Ulas Bagci (EMBC, 2023)

TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. - Nikhil Kumar Tomar; Annie Shergill; Brandon Rieders; Ulas Bagci; Debesh Jha (EMBC, 2023)

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. - Bin Wang 068; Armstrong Aboah; Zheyuan Zhang; Hongyi Pan; Ulas Bagci (Gaze Meets ML, 2023)

Self-supervised Semantic Segmentation: Consistency over Transformation. - Sanaz Karimijafarbigloo; Reza Azad; Amirhossein Kazerouni; Yury Velichko; Ulas Bagci; Dorit Merhof (ICCV (Workshops), 2023)

Object Localization Using Non-Euclidean Metrics. - Ulas Bagci; Jayaram K. Udupa; Xinjian Chen 001; Drew A. Torigian; Alpay Medetalibeyoglu; Diwei Zhou; Li Bai 001 (IoTaIS, 2023)

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. - Lanhong Yao; Zheyuan Zhang; Ulas Bagci (ISBI, 2023)

RUPNet: residual upsampling network for real-time polyp segmentation. - Nikhil Kumar Tomar; Ulas Bagci; Debesh Jha (Computer-Aided Diagnosis, 2023)

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. - Reza Azad; Amirhossein Kazerouni; Babak Azad; Ehsan Khodapanah Aghdam; Yury Velichko; Ulas Bagci; Dorit Merhof (MICCAI (3), 2023)

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MICCAI (3), 2023)

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Ulas Bagci (MIDL, 2023)

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Debesh Jha; Vanshali Sharma; Neethi Dasu; Nikhil Kumar Tomar; Steven Hicks; Manas Kamal Bhuyan; Pradip K. Das; Michael A. Riegler; Pål Halvorsen; Ulas Bagci; Thomas de Lange (ML4MHD, 2023)

Radiomics Boosts Deep Learning Model for IPMN Classification. - Lanhong Yao; Zheyuan Zhang; Ugur Demir; Elif Keles; Camila Vendrami; Emil Agarunov; Candice W. Bolan; Ivo Schoots; Marc J. Bruno; Rajesh Keswani; Frank H. Miller; Tamas Gonda; et al. (MLMI@MICCAI (2), 2023)

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci (MMM (1), 2023)

Monkeypox Diagnosis With Interpretable Deep Learning. - Md. Manjurul Ahsan; Md Shahin Ali; Md. Mehedi Hassan; Tareque Abu Abdullah; Kishor Datta Gupta; Ulas Bagci; Chetna Kaushal; Naglaa F. Soliman (IEEE Access, 2023)

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. - Tara M. Pattilachan; Ugur Demir; Elif Keles; Debesh Jha; Derk C. F. Klatte; Megan Engels; Sanne Hoogenboom; Candice W. Bolan; Michael B. Wallace; Ulas Bagci (CoRR, 2023)

The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. - Elif Keles; Ulas Bagci (CoRR, 2023)

Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation. - Aliasghar Mortazi; Vedat Cicek; Elif Keles; Ulas Bagci (CoRR, 2023)

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. - Zheyuan Zhang; Bin Wang 068; Lanhong Yao; Ugur Demir; Debesh Jha; Ismail Baris Turkbey; Boqing Gong; Ulas Bagci (CoRR, 2023)

Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification. - Smriti Regmi; Aliza Subedi; Ulas Bagci; Debesh Jha (CoRR, 2023)

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. - Debesh Jha; Ashish Rauniyar; Abhishek Srivastava; Desta Haileselassie Hagos; Nikhil Kumar Tomar; Vanshali Sharma; Elif Keles; Zheyuan Zhang; Ugur Demir; Ahmet Topcu; Anis Yazidi; Jan Erik Håkegård; et al. (CoRR, 2023)

GazeSAM: What You See is What You Segment. - Bin Wang 068; Armstrong Aboah; Zheyuan Zhang; Ulas Bagci (CoRR, 2023)

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification. - Ilkin Isler; Debesh Jha; Curtis Lisle; Justin Rineer; Patrick Kelly; Bulent Aydogan; Mohamed Abazeed; Damla Turgut; Ulas Bagci (CoRR, 2023)

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. - Bin Wang 068; Hongyi Pan; Armstrong Aboah; Zheyuan Zhang; Ahmet Enis Çetin; Drew A. Torigian; Baris Turkbey; Elizabeth A. Krupinski; Jayaram K. Udupa; Ulas Bagci (CoRR, 2023)

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Ulas Bagci (CoRR, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

Prototype Learning for Out-of-Distribution Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci (CoRR, 2023)

Domain Generalization with Fourier Transform and Soft Thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhan; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (CoRR, 2023)

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. - Ariana M. Familiar; Anahita Fathi Kazerooni; Hannah Anderson; Aliaksandr Lubneuski; Karthik Viswanathan; Rocky Breslow; Nastaran Khalili; Sina Bagheri; Debanjan Haldar; Meen Chul Kim; Sherjeel Arif; Rachel Madhogarhia; et al. (CoRR, 2023)

A Non-monotonic Smooth Activation Function. - Koushik Biswas; Meghana Karri; Ulas Bagci (CoRR, 2023)

EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model. - Zheyuan Zhang; Lanhong Yao; Bin Wang 068; Debesh Jha; Elif Keles; Alpay Medetalibeyoglu; Ulas Bagci (CoRR, 2023)

PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification. - Quoc-Huy Trinh; Nhat-Tan Bui; Dinh-Hieu Hoang; Phuoc-Thao Vo Thi; Hai-Dang Nguyen; Debesh Jha; Ulas Bagci; Ngan Le; Minh-Triet Tran (CoRR, 2023)

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. - Koushik Biswas; Debesh Jha; Nikhil Kumar Tomar; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (CoRR, 2023)

AI Powered Road Network Prediction with Multi-Modal Data. - Necip Enes Gengeç; Ergin Tari; Ulas Bagci (CoRR, 2023)

An automatic segmentation framework for computer-assisted renal scintigraphy procedure. - Arghavan Rahimi; Mohammad Hosntalab; Farshid Babapour Mofrad; Mahasti Amoui; Ulas Bagci (Medical Biol. Eng. Comput., 2023)

The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. - Elif Keles; Ulas Bagci (npj Digit. Medicine, 2023)

PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. - Quoc-Huy Trinh; Nhat-Tan Bui; Dinh-Hieu Hoang; Phuoc-Thao Vo Thi; Hai-Dang Nguyen; Debesh Jha; Ulas Bagci; Ngan Le; Minh-Triet Tran (AVSS, 2024)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. - Quoc-Huy Trinh; Hai-Dang Nguyen; Bao-Tram Nguyen Ngoc; Debesh Jha; Ulas Bagci; Minh-Triet Tran (BMVC, 2024)

Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. - Yalcin Tur; Jasmine Vu; Selam Waktola; Alpay Medetalibeyoglu; Laleh Golestanirad; Ulas Bagci (CBMS, 2024)

PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. - Md Mostafijur Rahman; Mustafa Munir; Debesh Jha; Ulas Bagci; Radu Marculescu (CVPR Workshops, 2024)

ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation. - Vanshali Sharma; Abhishek Kumar; Debesh Jha; Manas Kamal Bhuyan; Pradip K. Das; Ulas Bagci (CVPR Workshops, 2024)

PAM-UNet: Shifting Attention on Region of Interest in Medical Images. - Abhijit Das; Debesh Jha; Vandan Gorade; Koushik Biswas; Hongyi Pan; Zheyuan Zhang; Daniela P. Ladner; Yury Velichko; Amir Borhani; Ulas Bagci (EMBC, 2024)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. - Ziliang Hong; Debesh Jha; Koushik Biswas; Zheyuan Zhang; Yury Velichko; Cemal Yazici; Temel Tirkes; Amir Borhani; Baris Turkbey; Alpay Medetalibeyoglu; Gorkem Durak; Ulas Bagci (EMBC, 2024)

TransRUPNet for Improved Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Debayan Bhattacharya; Koushik Biswas; Ulas Bagci (EMBC, 2024)

Domain Generalization with fourier Transform and soft thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhang; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (ICASSP, 2024)

ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. - Abhijit Das; Vandan Gorade; Debesh Jha; Koushik Biswas; Pethuru Raj 001; Ulas Bagci (ICPR (7), 2024)

Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Rekha Singhal; Ulas Bagci (ICPR (13), 2024)

Evidential Federated Learning for Skin Lesion Image Classification. - Rutger Hendrix; Federica Proietto Salanitri; Concetto Spampinato; Simone Palazzo; Ulas Bagci (ICPR (29), 2024)

HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. - Afshin Bozorgpour; Bobby Azad; Reza Azad; Yury Velichko; Ulas Bagci; Dorit Merhof (ISBI, 2024)

Explainable Transformer Prototypes for Medical Diagnoses. - Ugur Demir; Debesh Jha; Zheyuan Zhang; Elif Keles; Bradley D. Allen; Aggelos K. Katsaggelos; Ulas Bagci (ISBI, 2024)

Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Ulas Bagci (ISBI, 2024)

CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (ISBI, 2024)

Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. - Sanaz Karimijafarbigloo; Reza Azad; Yury Velichko; Ulas Bagci; Dorit Merhof (ISBI, 2024)

Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. - Amirhossein Kazerouni; Sanaz Karimijafarbigloo; Reza Azad; Yury Velichko; Ulas Bagci; Dorit Merhof (ISBI, 2024)

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. - Koushik Biswas; Debesh Jha; Nikhil Kumar Tomar; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (MICCAI (9), 2024)

Practical and Ethical Considerations for Generative AI in Medical Imaging. - Debesh Jha; Ashish Rauniyar; Desta Haileselassie Hagos; Vanshali Sharma; Nikhil Kumar Tomar; Zheyuan Zhang; Ilkin Isler; Gorkem Durak; Michael B. Wallace; Cemal Yazici; Tyler M. Berzin; Koushik Biswas; et al. (FAIMI/EPIMI@MICCAI, 2024)

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. - Linkai Peng; Zheyuan Zhang; Gorkem Durak; Frank H. Miller; Alpay Medetalibeyoglu; Michael B. Wallace; Ulas Bagci (AIPAD/PILM@MICCAI, 2024)

Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model. - Aliza Subedi; Smriti Regmi; Nisha Regmi; Bhumi Bhusal; Ulas Bagci; Debesh Jha (CaPTion@MICCAI, 2024)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. - Koushik Biswas; Ridam Pal; Shaswat Patel; Debesh Jha; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; et al. (MLMI@MICCAI (1), 2024)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction. - Xin Zhu 005; Hongyi Pan; Batuhan Gundogdu; Debesh Jha; Yury Velichko; Adam B. Murphy; Ashley Ross; Baris Turkbey; Ahmet Enis Çetin; Ulas Bagci (MLMI@MICCAI (1), 2024)

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. - Reza Azad; Leon Niggemeier; Michael Hüttemann; Amirhossein Kazerouni; Ehsan Khodapanah Aghdam; Yury Velichko; Ulas Bagci; Dorit Merhof (WACV, 2024)

SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Ulas Bagci (WACV, 2024)

INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. - Amirhossein Kazerouni; Reza Azad; Alireza Hosseini; Dorit Merhof; Ulas Bagci (WACV, 2024)

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. - Bin Wang 068; Hongyi Pan; Armstrong Aboah; Zheyuan Zhang; Elif Keles; Drew A. Torigian; Baris Turkbey; Elizabeth A. Krupinski; Jayaram K. Udupa; Ulas Bagci (WACV, 2024)

Domain Generalization with Correlated Style Uncertainty. - Zheyuan Zhang; Bin Wang 068; Debesh Jha; Ugur Demir; Ulas Bagci (WACV, 2024)

Early stage lung cancer detection from speech sounds in natural environments. - Haydar Ankishan; Haluk Ulucanlar; Islam Aktürk; Kübra Alphan Kavak; Ulas Bagci; Bülent Mustafa Yenigün (Biomed. Signal Process. Control., 2024)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Rekha Singhal; Ulas Bagci (CoRR, 2024)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction. - Xin Zhu 005; Hongyi Pan; Yury Velichko; Adam B. Murphy; Ashley Ross; Baris Turkbey; Ahmet Enis Çetin; Ulas Bagci (CoRR, 2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Yury Velichko; Daniela P. Ladner; et al. (CoRR, 2024)

DCT-Based Decorrelated Attention for Vision Transformers. - Hongyi Pan; Emadeldeen Hamdan; Xin Zhu 005; Koushik Biswas; Ahmet Enis Çetin; Ulas Bagci (CoRR, 2024)

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. - Md Mostafijur Rahman; Mustafa Munir; Debesh Jha; Ulas Bagci; Radu Marculescu (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. - Moein Heidari; Sina Ghorbani Kolahi; Sanaz Karimijafarbigloo; Bobby Azad; Afshin Bozorgpour; Soheila Hatami; Reza Azad; Ali Diba; Ulas Bagci; Dorit Merhof; Ilker Hacihaliloglu (CoRR, 2024)

Ethical Framework for Responsible Foundational Models in Medical Imaging. - Abhijit Das; Debesh Jha; Jasmer Sanjotra; Onkar Susladkar; Suramyaa Sarkar; Ashish Rauniyar; Nikhil Kumar Tomar; Vanshali Sharma; Ulas Bagci (CoRR, 2024)

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. - Vandan Gorade; Onkar Susladkar; Gorkem Durak; Elif Keles; Ertugrul Aktas; Timurhan Cebeci; Alpay Medetalibeyoglu; Daniela P. Ladner; Debesh Jha; Ulas Bagci (CoRR, 2024)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. - Koushik Biswas; Ridal Pal; Shaswat Patel; Debesh Jha; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; et al. (CoRR, 2024)

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Quoc-Huy Trinh; Koushik Biswas; Hongyi Pan; Ritika Kumari Jha; Gorkem Durak; Alexander Hann; Jonas Varkey; Hang Viet Dao; Long Van Dao; et al. (CoRR, 2024)

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Koushik Biswas; Tyler M. Berzin; Rajesh Keswani; Michael B. Wallace; Ulas Bagci (CoRR, 2024)

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver. - Debesh Jha; Onkar Susladkar; Vandan Gorade; Elif Keles; Matthew Antalek; Deniz Seyithanoglu; Timurhan Cebeci; Ertugrul Aktas; Gulbiz Dagoglu Kartal; Sabahattin Kaymakoglu; Sukru Mehmet Erturk; Yuri S. Velichko; et al. (CoRR, 2024)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (CoRR, 2024)

Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost. - Yalcin Tur; Vedat Cicek; Tufan Cinar; Elif Keles; Bradlay D. Allen; Hatice Savas; Gorkem Durak; Alpay Medetalibeyoglu; Ulas Bagci (CoRR, 2024)

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård; Ulas Bagci; Danda B. Rawat; Vladimir Vlassov (IEEE Internet Things J., 2024)

COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. - Idil Aytekin; Onat Dalmaz; Kaan Gonc; Haydar Ankishan; Emine Ulku Saritas; Ulas Bagci; Haydar Celik; Tolga Çukur (IEEE J. Biomed. Health Informatics, 2024)

AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory. - Necip Enes Gengeç; Ergin Tari; Ulas Bagci (Earth Sci. Informatics, 2024)

Deformable Capsules for Object Detection. - Rodney LaLonde; Naji Khosravan; Ulas Bagci (Adv. Intell. Syst., 2024)

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging. - David C. Wong 005; Bin Wang 068; Gorkem Durak; Marouane Tliba; Akshay Chaudhari; Aladine Chetouani; Ahmet Enis Çetin; Cagdas Topel; Nicolo Gennaro; Camila Lopes Vendrami; Tugce Agirlar Trabzonlu; Amir Ali Rahsepar; et al. (CVPR Workshops, 2025)

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images. - David C. Wong 005; Bin Wang 068; Gorkem Durak; Marouane Tliba; Mohamed Amine Kerkouri; Aladine Chetouani; Ahmet Enis Çetin; Cagdas Topel; Nicolo Gennaro; Camila Vendrami; Tugce Agirlar Trabzonlu; Amir Ali Rahsepar; et al. (ETRA, 2025)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Vandan Gorade; Abhijit Das; et al. (ICASSP, 2025)

Frequency-Based Federated Domain Generalization for Polyp Segmentation. - Hongyi Pan; Debesh Jha; Koushik Biswas; Ulas Bagci (ICASSP, 2025)

Transformer-Enhanced Iterative Feedback Mechanism For Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Koushik Biswas; Ulas Bagci (ICASSP, 2025)

Order-aware Interactive Segmentation. - Bin Wang 068; Anwesa Choudhuri; Meng Zheng 002; Zhongpai Gao; Benjamin Planche; Andong Deng; Qin Liu 008; Terrence Chen; Ulas Bagci; Ziyan Wu 001 (ICLR, 2025)

A New Logic for Pediatric Brain Tumor Segmentation. - Max Bengtsson; Elif Keles; Gorkem Durak; Syed Anwar; Yuri S. Velichko; Marius George Linguraru; Angela J. Waanders; Ulas Bagci (ISBI, 2025)

Conditional Visuo-Textual Prompt Learning for Medical Image Analysis. - Raffaele Mineo; Giovanni Bellitto; Federica Proietto Salanitri; Rutger Hendrix; Ulas Bagci; Daniela Giordano; Concetto Spampinato; Simone Palazzo (ISBI, 2025)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Halil Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (ISBI, 2025)

IPMN Risk Assessment Under Federated Learning Paradigm. - Hongyi Pan; Ziliang Hong; Gorkem Durak; Elif Keles; Halil Ertugrul Aktas; Yavuz Taktak; Alpay Medetalibeyoglu; Zheyuan Zhang; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; et al. (ISBI, 2025)

Is Long Range Sequential Modeling Necessary for Colorectal Tumor Segmentation? - Abhishek Srivastava; Koushik Biswas; Gorkem Durak; Gulsah Ozden; Mustafa Adli; Ulas Bagci (ISBI, 2025)

Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. - Koushik Biswas; Amit Reza; Meghana Karri; Debesh Jha; Hongyi Pan; Nikhil Kumar Tomar; Aliza Subedi; Smriti Regmi; Ulas Bagci (WACV, 2025)

Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation. - Sanaz Karimijafarbigloo; Sina Ghorbani Kolahi; Reza Azad; Ulas Bagci; Dorit Merhof (WACV, 2025)

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation. - Meghana Karri; Amit Soni Arya; Koushik Biswas; Nicolo Gennaro; Vedat Cicek; Gorkem Durak; Yuri S. Velichko; Ulas Bagci (WACV, 2025)

Position of artificial intelligence in healthcare and future perspective. - Vedat Cicek; Ulas Bagci (Artif. Intell. Medicine, 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. - Zheyuan Zhang; Elif Keles; Gorkem Durak; Yavuz Taktak; Onkar Susladkar; Vandan Gorade; Debesh Jha; Asli C. Ormeci; Alpay Medetalibeyoglu; Lanhong Yao; Bin Wang 068; Ilkin Sevgi Isler; et al. (Medical Image Anal., 2025)

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification. - Vanshali Sharma; Debesh Jha; Manas Kamal Bhuyan; Pradip K. Das; Ulas Bagci (CoRR, 2025)

Liver Cirrhosis Stage Estimation from MRI with Deep Learning. - Jun Zeng 007; Debesh Jha; Ertugrul Aktas; Elif Keles; Alpay Medetalibeyoglu; Matthew Antalek; Amir Borhani; Daniela P. Ladner; Gorkem Durak; Ulas Bagci (CoRR, 2025)

A Reverse Mamba Attention Network for Pathological Liver Segmentation. - Jun Zeng 007; Ulas Bagci; Debesh Jha (CoRR, 2025)

VideoAds for Fast-Paced Video Understanding: Where Opensource Foundation Models Beat GPT-4o & Gemini-1.5 Pro. - Zheyuan Zhang; Monica Dou; Linkai Peng; Hongyi Pan; Ulas Bagci; Boqing Gong (CoRR, 2025)

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing. - Ilkin Sevgi Isler; David Mohaisen; Curtis Lisle; Damla Turgut; Ulas Bagci (CoRR, 2025)

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis. - Onkar Susladkar; Gayatri Deshmukh; Yalcin Tur; Gorkhem Durak; Ulas Bagci (CoRR, 2025)

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients. - Wanying Dou; Gorkem Durak; Koushik Biswas; Ziliang Hong; Andrea Mia Bejar; Elif Keles; Kaan Akin; Sukru Mehmet Erturk; Alpay Medetalibeyoglu; Marc Sala; Alexander Misharin; Hatice Savas; et al. (CoRR, 2025)

PRS-Med: Position Reasoning Segmentation with Vision-Language Model in Medical Imaging. - Quoc-Huy Trinh; Minh-Van Nguyen; Jung Peng; Ulas Bagci; Debesh Jha (CoRR, 2025)

TAGS: 3D Tumor-Adaptive Guidance for SAM. - Sirui Li; Linkai Peng; Zheyuan Zhang; Gorkem Durak; Ulas Bagci (CoRR, 2025)

Pediatric Pancreas Segmentation from MRI Scans with Deep Learning. - Elif Keles; Merve Yazol; Gorkem Durak; Ziliang Hong; Halil Ertugrul Aktas; Zheyuan Zhang; Linkai Peng; Onkar Susladkar; Necati Guzelyel; Oznur Leman Boyunaga; Cemal Yazici; Mark Lowe; et al. (CoRR, 2025)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation. - Hongyi Pan; Ziliang Hong; Gorkem Durak; Ziyue Xu 001; Ulas Bagci (CoRR, 2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation. - Ha-Hieu Pham; Nguyen Lan Vi Vu; Thanh-Huy Nguyen; Ulas Bagci; Min Xu; Trung-Nghia Le; Huy-Hieu Pham (CoRR, 2025)

Describe Anything Model for Visual Question Answering on Text-rich Images. - Yen-Linh Vu; Dinh-Thang Duong; Truong-Binh Duong; Anh-Khoi Nguyen; Thanh-Huy Nguyen; Le Thien Phuc Nguyen; Jianhua Xing; Xingjian Li 012; Tianyang Wang; Ulas Bagci; Min Xu (CoRR, 2025)

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. - Hongyi Pan; Gorkem Durak; Elif Keles; Deniz Seyithanoglu; Zheyuan Zhang; Alpay Medetalibeyoglu; Halil Ertugrul Aktas; Andrea Mia Bejar; Ziliang Hong; Yavuz Taktak; Gulbiz Dagoglu Kartal; Sukru Mehmet Erturk; et al. (CoRR, 2025)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation. - Zheyuan Zhang; Linkai Peng; Wanying Dou; Cuiling Sun; Halil Ertugrul Aktas; Andrea Mia Bejar; Elif Keles; Gorkem Durak; Ulas Bagci (CoRR, 2025)

GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. - Ngoc Bui Lam Quang; Nam Le Nguyen Binh; Thanh-Huy Nguyen; Le Thien Phuc Nguyen; Quan Nguyen; Ulas Bagci (CoRR, 2025)

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes. - Jun Zeng 007; Yannan Huang; Elif Keles; Halil Ertugrul Aktas; Gorkem Durak; Nikhil Kumar Tomar; Quoc-Huy Trinh; Deepak Ranjan Nayak; Ulas Bagci; Debesh Jha (CoRR, 2025)