Optimal search guided by partial active shape model for prostate segmentation in TRUS images. - Pingkun Yan; Sheng Xu 001; Baris Turkbey; Jochen Kruecker (Image-Guided Procedures, 2009)

Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates. - Samuel Kadoury; Pingkun Yan; Sheng Xu 001; Neil D. Glossop; Peter L. Choyke; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Jochen Kruecker (Prostate Cancer Imaging, 2010)

Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies. - Sheng Xu 001; Baris Turkbey; Jochen Kruecker; Pingkun Yan; Julia Locklin; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood (Image-Guided Procedures, 2010)

Segmenting TRUS video sequences using local shape statistics. - Pingkun Yan; Sheng Xu 001; Baris Turkbey; Jochen Kruecker (Image-Guided Procedures, 2010)

Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation. - Pingkun Yan; Sheng Xu 001; Baris Turkbey; Jochen Kruecker (IEEE Trans. Biomed. Eng., 2010)

Segmenting Images by Combining Selected Atlases on Manifold. - Yihui Cao; Yuan Yuan 001; Xuelong Li 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (MICCAI (3), 2011)

Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound. - Pingkun Yan; Sheng Xu 001; Baris Turkbey; Jochen Kruecker (IEEE Trans. Biomed. Eng., 2011)

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging. - Amir M. Tahmasebi; Reza Sharifi; Harsh K. Agarwal; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Jochen Kruecker (EMBC, 2012)

Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. - Shijun Wang; Peter Liu; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (3), 2012)

An elastic registration framework to estimate prostate deformation in endorectal MR scans. - Muqing Lin; Vijay Parthasarathy; Harsh K. Agarwal; Peter L. Choyke; Baris Turkbey; Tobias Klinder; Jochen Kruecker (Image-Guided Procedures, 2012)

Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images. - Sergei V. Fotin; Yin Yin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; François Cornud; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement. - Yin Yin; Sergei V. Fotin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; François Cornud; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach. - Yin Yin; Sergei V. Fotin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis. - Ruida Cheng; Marcelino Bernardo; Justin Senseney; Alexandra Bokinsky; William Gandler; Baris Turkbey; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe (ISBI, 2013)

A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels. - Peter Liu; Shijun Wang; Baris Turkbey; Kinzya Grant; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2013)

2D registration guided models for semi-automatic MRI prostate segmentation. - Ruida Cheng; Baris Turkbey; Justin Senseney; Marcelino Bernardo; Alexandra Bokinsky; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe (Image Processing, 2013)

Global structure constrained local shape prior estimation for medical image segmentation. - Pingkun Yan; Wuxia Zhang; Baris Turkbey; Peter L. Choyke; Xuelong Li 001 (Comput. Vis. Image Underst., 2013)

Prostate Segmentation in MR Images Using Discriminant Boundary Features. - Meijuan Yang; Xuelong Li 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (IEEE Trans. Biomed. Eng., 2013)

Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. - Ruida Cheng; Baris Turkbey; William Gandler; Harsh K. Agarwal; Vijay P. Shah; Alexandra Bokinsky; Evan S. McCreedy; Shijun Wang; Sandeep Sankineni; Marcelino Bernardo; Thomas Pohida; Peter L. Choyke; et al. (EMBC, 2014)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. - Nishant Uniyal; Farhad Imani; Amir M. Tahmasebi; Harsh K. Agarwal; Shyam Bharat; Pingkun Yan; Jochen Kruecker; Jin Tae Kwak; Sheng Xu 001; Bradford J. Wood; Peter A. Pinto; Baris Turkbey; et al. (CLIP@MICCAI, 2014)

A multiview boosting approach to tissue segmentation. - Jin Tae Kwak; Sheng Xu 001; Peter A. Pinto; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Bradford J. Wood (Digital Pathology, 2014)

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. - Kevin Michael Boehm; Shijun Wang; Karen E. Burtt; Baris Turkbey; Samuel Weisenthal; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood; Nicholas Petrick; Berkman Sahiner; Ronald M. Summers (Computer-Aided Diagnosis, 2015)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. - Shekoofeh Azizi; Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Nishant Uniyal; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Mehdi Moradi; et al. (MICCAI (2), 2015)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. - Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Harsh K. Agarwal; Shyam Bharat; Nishant Uniyal; Ismail Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Label Image Constrained Multiatlas Selection. - Pingkun Yan; Yihui Cao; Yuan Yuan 001; Baris Turkbey; Peter L. Choyke (IEEE Trans. Cybern., 2015)

Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. - Nathan Lay; Sabrina Freeman; Baris Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. - Fereshteh Aalamifar; Reza Seifabadi; Marcelino Bernardo; Ayele H. Negussie; Baris Turkbey; María Merino 002; Peter A. Pinto; Arman Rahmim; Bradford J. Wood; Emad M. Boctor (MICCAI (1), 2016)

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. - Shekoofeh Azizi; Farhad Imani; Jin Tae Kwak; Amir M. Tahmasebi; Sheng Xu 001; Pingkun Yan; Jochen Kruecker; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; et al. (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)

An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring. - Sheng Xu 001; Harsh K. Agarwal; Marcelino Bernardo; Reza Seifabadi; Baris Turkbey; Ari Partanen; Ayele H. Negussie; Neil D. Glossop; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood (Image-Guided Procedures, 2016)

Active appearance model and deep learning for more accurate prostate segmentation on MRI. - Ruida Cheng; Holger R. Roth; Le Lu 001; Shijun Wang; Baris Turkbey; William Gandler; Evan S. McCreedy; Harsh K. Agarwal; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2016)

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. - Shekoofeh Azizi; Farhad Imani; Sahar Ghavidel; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2016)

Correlation of magnetic resonance imaging with digital histopathology in prostate. - Jin Tae Kwak; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; María Merino 002; Bradford J. Wood (Int. J. Comput. Assist. Radiol. Surg., 2016)

Representing 3D shapes based on implicit surface functions learned from RBF neural networks. - Guoyu Lu; Li Ren; Abhishek Kolagunda; Xiaolong Wang 006; Ismail Baris Turkbey; Peter L. Choyke; Chandra Kambhamettu (J. Vis. Commun. Image Represent., 2016)

Deeply-supervised CNN for prostate segmentation. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (IJCNN, 2017)

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. - Ruida Cheng; Nathan Lay; Francesca Mertan; Baris Turkbey; Holger R. Roth; Le Lu 001; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe; Ronald M. Summers (ISBI, 2017)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Automatic MR prostate segmentation by deep learning with holistically-nested networks. - Ruida Cheng; Holger R. Roth; Nathan Lay; Le Lu 001; Baris Turkbey; William Gandler; Evan S. McCreedy; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2017)

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. - Shekoofeh Azizi; Parvin Mousavi; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2017)

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. - Shekoofeh Azizi; Pingkun Yan; Amir M. Tahmasebi; Peter A. Pinto; Bradford J. Wood; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Parvin Mousavi; Purang Abolmaesumi (MICCAI (4), 2018)

A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy. - Abhishek Kolagunda; Scott Sorensen; Sherif Mehralivand; Philip Saponaro; Wayne Treible; Baris Turkbey; Peter A. Pinto; Peter L. Choyke; Chandra Kambhamettu (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. - Shekoofeh Azizi; Nathan Van Woudenberg; Samira Sojoudi; Ming Li 052; Sheng Xu 001; Emran Mohammad Abu Anas; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. - Minh Nguyen Nhat To; Quoc Dang Vu; Baris Turkbey; Peter L. Choyke; Jin Tae Kwak (Int. J. Comput. Assist. Radiol. Surg., 2018)

Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. - Rulon Mayer; Charles B. Simone II; William Skinner; Baris Turkbey; Peter L. Choyke (Comput. Biol. Medicine, 2018)

Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (Complex., 2018)

MRI Robot for Prostate Focal Laser Ablation: An Ex Vivo Study in Human Prostate. - Reza Seifabadi; Ming Li 052; Sheng Xu 001; Yue Chen; Alexander Squires; Ayele H. Negussie; Ivane Bakhutashvili; Peter L. Choyke; Ismail Baris Turkbey; Zion Tsz Ho Tse; Bradford J. Wood (J. Imaging, 2018)

MRI-Guided Robotically Assisted Focal Laser Ablation of the Prostate Using Canine Cadavers. - Yue Chen; Sheng Xu 001; Alexander Squires; Reza Seifabadi; Ismail Baris Turkbey; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood; Zion Tsz Ho Tse (IEEE Trans. Biomed. Eng., 2018)

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2018)

Smartglasses/smartphone needle guidance AR system for transperineal prostate procedure. - Ming Li 052; Sheng Xu 001; Dumitru Mazilu; Baris Turkbey; Bradford J. Wood (Image-Guided Procedures, 2019)

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. - Alireza Sedghi; Mehran Pesteie; Golara Javadi; Shekoofeh Azizi; Pingkun Yan; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Robert Rohling; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 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)

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 Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. - Minh Nguyen Nhat To; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Vanessa Moreno; María Merino 002; Bradford J. Wood; Jin Tae Kwak (ISBI, 2020)

Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. - Xi Fang 002; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (MLMI@MICCAI, 2020)

Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. - Minh Nguyen Nhat To; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter A. Pinto; Vanessa Moreno; María Merino 002; Bradford J. Wood; Jin Tae Kwak (MICCAI (1), 2020)

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. - Alireza Sedghi; Alireza Mehrtash; Amoon Jamzad; Amel Amalou; William M. Wells III; Tina Kapur; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Sheng Xu 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

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)

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)

Cross-Modal Attention for MRI and Ultrasound Volume Registration. - Xinrui Song; Hengtao Guo; Xuanang Xu; Hanqing Chao; Sheng Xu 001; Baris Turkbey; Bradford J. Wood; Ge Wang 001; Pingkun Yan (MICCAI (4), 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)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

AI-Assisted CT as a Clinical and Research Tool for COVID-19. - Zion Tsz Ho Tse; Sierra E. Hovet; Hongliang Ren 001; Tristan Barrett; Sheng Xu 001; Baris Turkbey; Bradford J. Wood (Frontiers Artif. Intell., 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Multi-Task Learning for Registering Images With Large Deformation. - Bo Du 001; Jiandong Liao; Baris Turkbey; Pingkun Yan (IEEE J. Biomed. Health Informatics, 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 2022)

Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors. - Kevin C. Ma; Michael V. Green; Elaine M. Jagoda; Jürgen Seidel; Peter L. Choyke; Baris Turkbey; Stephanie A. Harmon (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Camera-based distance detection and contact tracing to monitor potential spread of COVID-19. - Ming Li 052; Nicole Varble; Baris Turkbey; Sheng Xu 001; Bradford J. Wood (Image Perception, Observer Performance, and Technology Assessment, 2022)

Transformed Grid Distance Loss for Supervised Image Registration. - Xinrui Song; Hanqing Chao; Sheng Xu 001; Baris Turkbey; Bradford J. Wood; Ge Wang 001; Pingkun Yan (WBIR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Cross-modal attention for multi-modal image registration. - Xinrui Song; Hanqing Chao; Xuanang Xu; Hengtao Guo; Sheng Xu 001; Baris Turkbey; Bradford J. Wood; Thomas Sanford; Ge Wang 001; Pingkun Yan (Medical Image Anal., 2022)

Polar transform network for prostate ultrasound segmentation with uncertainty estimation. - Xuanang Xu; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (Medical Image Anal., 2022)

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation. - Xuanang Xu; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (IEEE Trans. Medical Imaging, 2022)

Distance map supervised landmark localization for MR-TRUS registration. - Xinrui Song; Xuanang Xu; Sheng Xu 001; Baris Turkbey; Thomas Sanford; Bradford J. Wood; Pingkun Yan (Image Processing, 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)

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)

Shape description losses for medical image segmentation. - Xi Fang 002; Xuanang Xu; James J. Xia; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (Mach. Vis. Appl., 2023)

A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. - Zhijun Chen; Erolcan Sayar; Haoyue Zhang; Helen Richards; Lucas Liu; Baris Turkbey; Michael Haffner; Stephanie A. Harmon (AIME (2), 2024)

Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. - Sophia Ty; Fahmida Haque; Parth Desai; Nobuyuki Takahashi; Usamah Chaudhary; Benjamin Simon; Peter L. Choyke; Anish Thomas; Baris Turkbey; Stephanie A. Harmon (AIME (2), 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)

Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection. - Alex Chen; Nathan Lay; Stephanie A. Harmon; Kutsev Ozyoruk; Enis Yilmaz; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 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)

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)

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging. - Pouria Yazdian Anari; Fiona Obiezu; Nathan Lay; Fatemeh Dehghani Firouzabadi; Aditi Chaurasia; Mahshid Golagha; Shiva Singh; Fatemeh Homayounieh; Aryan Zahergivar; Stephanie A. Harmon; Evrim Turkbey; Rabindra Gautam; et al. (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)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

MAISI: Medical AI for Synthetic Imaging. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Ziyue Xu 001; Vishwesh Nath; Yucheng Tang; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (WACV, 2025)

Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts. - Fahmida Haque; Alex Chen; Nathan Lay; Jorge Carrasquillo; Esther Mena; Liza Lindenberg; Julia E. Segal; Philip Eclarinal; Sara Talvacchio; Alberta Derkyi; Peter L. Choyke; Karel Pacak; et al. (Comput. Biol. Medicine, 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)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Yufan He; Vishwesh Nath; Ziyue Xu 001; Pedro R. A. S. Bassi; Zongwei Zhou; Benjamin Simon; Stephanie Anne Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)

OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography. - Hanchen Wang 008; Yixuan Wu; Yinan Feng; Peng Jin; Shihang Feng; Yiming Mao 014; James Wiskin; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Songting Luo; Yinpeng Chen; et al. (CoRR, 2025)

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. - Can Zhao 001; Pengfei Guo; Dong Yang 005; Yucheng Tang; Yufan He; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)