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)

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)

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)

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)

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)

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)

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)

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)

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

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

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)

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)

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)

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)

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)

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)

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)

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)

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)