Publications

Linkai Peng, Laetitia Perronne, Nicolò Gennaro, Ahmad Pour Rashidi, Zuzanna Kobus, Mirinae Seo, Amir A. Borhani, Linda Kelahan, Kamal Subedi, Hatice Savas, Ryan Avery, Tugce Agirlar Trabzonlu, Chase Krumpelman, Spyridon Bakas, Akhil Chawla, Sean Sachdev, Pedro Hermida de Viveiros, Seth M. Pollack, Ulas Bagci, Yuri S. Velichko

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2026Journal of Imaging Informatics in Medicine

Physics-informed multiscale decoding of tissue microstructure: the gray level affinity metrics (GLAM) framework

Ahmad Pour Rashidi, Laetitia Perronne, Chase Krumpelman, Virginia Hill, Amir A Borhani, Kamal Subedi, Linda Kelahan, Ryan Avery, Hatice Savas, David Rusinak, Evan Calabrese, Spyridon Bakas, Ulas Bagci, James Chandler, Yuri S Velichko

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2026ARRS 2026

Predicting pulmonary fibrosis risk in post-COVID patients using deep learning and radiomics on CT

Wanying Dou, Andrea Bejar, Halil Ertugrul Aktas, Gorkem Durak, Elif Keles, Drew Torigian, Jayaram Udupa, Ulas Bagci

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2026AAAI 2026 (AIMedHealth26 Workshop)

Prototype learning for out-of-distribution polyp segmentation

Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci

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2026RSNA 2026 (Scientific Presentation)

Radiology inspired pediatric brain tumor segmentation for reliable multicenter deployment

Elif Keles et al

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2026IEEE TMI

REN: anatomically-informed mixture-of-experts for interstitial lung disease diagnosis

Alec K. Peltekian, Halil Ertugrul Aktas, Gorkem Durak, Kevin Grudzinski, Bradford C. Bemiss, Carrie Richardson, Jane E. Dematte, G. R. Scott Budinger, Anthony J. Esposito, Alexander Misharin, Alok Choudhary, Ankit Agrawal, Ulas Bagci

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2026RSNA 2026 (Scientific Presentation)

Report-trained segmentation AI detects 18% more tumors than radiologists across 7 hard-to-see cancers on routine CT

Zongwei Zhou

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2026IEEE ISBI 2026

Robust white blood cell classification with stain-normalized decoupled learning and ensembling

L Le, HL Cao, HH Pham, TH Nguyen, U Bagci

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2026RSNA 2026 (Scientific Presentation)

SCALEMAI: an expectation-maximization engine that co-evolves AI and annotations to build a 47,000-scan pancreatic CT dataset

Zongwei Zhou et al

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2026RSNA 2026 (Scientific Presentation)

Seeing more, dwelling less: bias-field correction systematically alters radiologist visual search behavior during MRI interpretation

Ertugrul Aktas et al

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2026RSNA 2026 (Scientific Presentation)

Self-correcting AI detects 50% more small pancreatic cancers than radiologists on routine contrast-enhanced CT across 147 hospitals worldwide

Zongwei Zhou et al

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2026MICCAI 2026

SRMA-mamba: spatial reverse mamba attention network for pathological liver segmentation in MRI volumes

Jun Zeng, Quoc-Huy Trinh, Deepak Ranjan Nayak, Nikhil Tomar Kumar, Ulas Bagci, Debesh Jha

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2026IEEE ISBI 2026

Scribble-supervised medical image segmentation with dynamic teacher switching and hierarchical consistency

Huy Thanh Nguyen; Loc Hoang Cao and Dat Tien Chung; Anh Mai Vu; Thanh-Minh Nguyen; Minh Huu Nhat Le; Phat Kim Huynh ; Ulas Bagci

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2026CVPR 2026 - CV4Clinic

Seeing through the tool: a controlled benchmark for occlusion robustness in foundation segmentation models

Nhan Ho, Luu Le, Thanh-Huy Nguyen, Thien Nguyen, Xiaofeng Liu, Ulas Bagci

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2026MICCAI 2026 (MLMI)

SliceLift: slice-to-volume feature lifting for volumetric pancreatic cyst MRI segmentation

Tran Quoc Duy Nguyen, Vi Vu, Thanh-Huy Nguyen, Halil Ertugrul Aktas, Elif Keles, Eminenur Sen Tasci, Muhammed Enes Tasci, Gorkem Durak, Frank H Miller, Michael Wallace, Ulas Bagci

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