Characteristics of a simulation model of the national kidney transplantation system. - Ashley Davis; Sanjay Mehrotra; John Friedewald; Daniela P. Ladner (WSC, 2013)

The use of technology for urgent clinician to clinician communications: A systematic review of the literature. - Cristina Nguyen; Lisa M. McElroy; Michael M. Abecassis; Jane L. Holl; Daniela P. Ladner (Int. J. Medical Informatics, 2015)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)