Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier. - Debesh Jha; Ji-In Kim; Moo-Rak Choi; Goo-Rak Kwon (Comput. Intell. Neurosci., 2017)

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. - Vajira Thambawita; Debesh Jha; Michael Riegler 001; Pål Halvorsen; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen (MediaEval, 2018)

ResUNet++: An Advanced Architecture for Medical Image Segmentation. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Dag Johansen; Thomas de Lange; Pål Halvorsen; Håvard D. Johansen (ISM, 2019)

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. - Debesh Jha; Michael A. Riegler; Dag Johansen; Pål Halvorsen; Håvard D. Johansen (CBMS, 2020)

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. - Steven Alexander Hicks; Debesh Jha; Vajira Thambawita; Pål Halvorsen; Hugo Lewi Hammer; Michael A. Riegler (ICPR Workshops (8), 2020)

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Sharib Ali; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen (ICPR Workshops (8), 2020)

Automatic Polyp Segmentation Using U-Net-ResNet50. - Saruar Alam; Nikhil Kumar Tomar; Aarati Thakur; Debesh Jha; Ashish Rauniyar (MediaEval, 2020)

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. - Debesh Jha; Steven Hicks; Krister Emanuelsen; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Michael A. Riegler; Pål Halvorsen (MediaEval, 2020)

Kvasir-SEG: A Segmented Polyp Dataset. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Pål Halvorsen; Thomas de Lange; Dag Johansen; Håvard D. Johansen (MMM (2), 2020)

PMData: a sports logging dataset. - Vajira Thambawita; Steven Alexander Hicks; Hanna Borgli; Håkon Kvale Stensland; Debesh Jha; Martin Kristoffer Svensen; Svein Arne Pettersen; Dag Johansen; Håvard Dagenborg Johansen; Susann Dahl Pettersen; Simon Nordvang; Sigurd Pedersen; et al. (MMSys, 2020)

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. - Debesh Jha; Anis Yazidi; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (PDCAT, 2020)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. - Debesh Jha; Sharib Ali; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Michael A. Riegler; Pål Halvorsen (CoRR, 2020)

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. - Vajira Thambawita; Debesh Jha; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen; Pål Halvorsen; Michael A. Riegler (ACM Trans. Comput. Heal., 2020)

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (BHI, 2021)

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Sharib Ali; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Pål Halvorsen (CBMS, 2021)

Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. - Nikhil Kumar Tomar; Nabil Ibtehaz; Debesh Jha; Pål Halvorsen; Sharib Ali (EndoCV@ISBI, 2021)

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Steven Hicks; Debesh Jha; Vajira Thambawita; Hugo Hammer; Thomas de Lange; Sravanthi Parasa; Michael Riegler 001; Pål Halvorsen (MediaEval, 2021)

Automated Polyp Segmentation in Colonoscopy using MSRFNet. - Saurab Rauniyar; Abhishek Srivastava; Vabesh Kumar Jha; Ritika Kumari Jha; Debesh Jha; Ashish Rauniyar (MediaEval, 2021)

Progressively Normalized Self-Attention Network for Video Polyp Segmentation. - Ge-Peng Ji; Yu-Cheng Chou; Deng-Ping Fan; Geng Chen 001; Huazhu Fu; Debesh Jha; Ling Shao 001 (MICCAI (1), 2021)

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. - Enrique Garcia-Ceja; Vajira Thambawita; Steven Alexander Hicks; Debesh Jha; Petter Jakobsen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (MMM (2), 2021)

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. - Debesh Jha; Sharib Ali; Krister Emanuelsen; Steven Alexander Hicks; Vajira Thambawita; Enrique Garcia-Ceja; Michael A. Riegler; Thomas de Lange; Peter Thelin Schmidt; Håvard D. Johansen; Dag Johansen; Pål Halvorsen (MMM (2), 2021)

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2021)

Few-shot segmentation of medical images based on meta-learning with implicit gradients. - Rabindra Khadga; Debesh Jha; Sharib Ali; Steven Alexander Hicks; Vajira Thambawita; Michael A. Riegler; Pål Halvorsen (CoRR, 2021)

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. - Sharib Ali; Debesh Jha; Noha M. Ghatwary; Stefano Realdon; Renato Cannizzaro; Osama E. Salem; Dominique Lamarque; Christian Daul; Kim V. Anonsen; Michael A. Riegler; Pål Halvorsen; Jens Rittscher; et al. (CoRR, 2021)

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Debesh Jha; Sharib Ali; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (CoRR, 2021)

2020 CATARACTS Semantic Segmentation Challenge. - Imanol Luengo; Maria Grammatikopoulou; Rahim Mohammadi; Chris Walsh; Chinedu Innocent Nwoye; Deepak Alapatt; Nicolas Padoy; Zhen-Liang Ni; Chen-Chen Fan; Gui-Bin Bian; Zeng-Guang Hou; Heonjin Ha; et al. (CoRR, 2021)

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. - Abhishek Srivastava; Sukalpa Chanda; Debesh Jha; Michael A. Riegler; Pål Halvorsen; Dag Johansen; Umapada Pal 001 (CoRR, 2021)

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. - Debesh Jha; Sharib Ali; Steven Alexander Hicks; Vajira Thambawita; Hanna Borgli; Pia H. Smedsrud; Thomas de Lange; Konstantin Pogorelov; Xiaowei Wang; Philipp Harzig; Minh-Triet Tran; Wenhua Meng; et al. (Medical Image Anal., 2021)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 2021)

A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. - Debesh Jha; Pia H. Smedsrud; Dag Johansen; Thomas de Lange; Håvard D. Johansen; Pål Halvorsen; Michael A. Riegler (IEEE J. Biomed. Health Informatics, 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)

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)

GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation. - Abhishek Srivastava; Sukalpa Chanda; Debesh Jha; Umapada Pal 001; Sharib Ali (ICPR, 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)

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård (SAM, 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)

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. - Rabindra Khadka; Debesh Jha; Steven Hicks; Vajira Thambawita; Michael A. Riegler; Sharib Ali; Pål Halvorsen (Comput. Biol. Medicine, 2022)

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Sharib Ali; Noha M. Ghatwary; Debesh Jha; Ece Isik-Polat; Gorkem Polat; Chen Yang 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (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)

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. - Abhishek Srivastava; Debesh Jha; Sukalpa Chanda; Umapada Pal 001; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Sharib Ali; Pål Halvorsen (IEEE J. Biomed. Health Informatics, 2022)

Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Wen-wai Yim; Asma Ben Abacha; Neal Snider; Griffin Adams; Meliha Yetisgen; Johannes Rückert; Alba García Seco de Herrera; Christoph M. Friedrich; Louise Bloch; et al. (CLEF, 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)

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

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

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)

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)

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)

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)

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Pål Halvorsen; Sharib Ali (IEEE Trans. Neural Networks Learn. Syst., 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)

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)

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)

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)

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)

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

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

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)

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)

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)

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)

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)

TransE2UNet: Edge Guided TransEfficientUNET for Generalized Colon Polyp Segmentation from Endoscopy Images. - Subhashis Kar; Souradeep Mukhopadhyay; Shreyan Kundu; Debesh Jha; Rammohan Mallipeddi (MIUA (3), 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)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation. - Tapas Kumar Dutta; Snehashis Majhi; Deepak Ranjan Nayak; Debesh Jha (WACV, 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)

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Neethi Dasu; Rekha Singhal; KC Santosh; Debesh Jha (CoRR, 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)

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention. - Jun Zeng 007; KC Santosh; Deepak Rajan Nayak; Thomas de Lange; Jonas Varkey; Tyler M. Berzin; Debesh Jha (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)

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation. - Tapas Kumar Dutta; Snehashis Majhi; Deepak Ranjan Nayak; Debesh Jha (CoRR, 2025)

Large Language Model Evaluated Stand-alone Attention-Assisted Graph Neural Network with Spatial and Structural Information Interaction for Precise Endoscopic Image Segmentation. - Juntong Fan; Shuyi Fan; Debesh Jha; Changsheng Fang; Tieyong Zeng; Hengyong Yu; Dayang Wang (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)