Deep Labeling of fMRI Brain Networks Using Cloud Based Processing. - Sejal Ghate; Alberto Santamaría-Pang; Ivan Tarapov; Haris I. Sair; Craig K. Jones (ISVC (1), 2022)

CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI. - Arjun Soin; Jameson Merkow; Jin Long; Joseph Paul Cohen; Smitha Saligrama; Stephen Kaiser; Steven Borg; Ivan Tarapov; Matthew P. Lungren (CoRR, 2022)

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. - Jameson Merkow; Arjun Soin; Jin Long; Joseph Paul Cohen; Smitha Saligrama; Christopher P. Bridge; Xiyu Yang; Stephen Kaiser; Steven Borg; Ivan Tarapov; Matthew P. Lungren (MICCAI (3), 2023)

Deep Labeling of fMRI Brain Networks. - Ammar Ahmed Pallikonda Latheef; Sejal Ghate; Zhipeng Hui; Alberto Santamaría-Pang; Ivan Tarapov; Haris I. Sair; Craig K. Jones (CoRR, 2023)

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query. - Ho Hin Lee; Alberto Santamaría-Pang; Jameson Merkow; Ozan Oktay; Fernando Pérez-García; Javier Alvarez-Valle; Ivan Tarapov (CoRR, 2023)

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology. - Asma Ben Abacha; Alberto Santamaría-Pang; Ho Hin Lee; Jameson Merkow; Qin Cai; Surya Teja Devarakonda; Abdullah Islam; Julia Gong; Matthew P. Lungren; Thomas Lin; Noel C. F. Codella; Ivan Tarapov (CoRR, 2023)

Atlas-Based Labeling of Resting-State fMRI. - Hrishikesh Kambli; Alberto Santamaría-Pang; Ivan Tarapov; Elham Beheshtian; Licia P. Luna; Haris I. Sair; Craig K. Jones (Brain Connect., 2024)

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. - Noel C. F. Codella; Ying Jin; Shrey Jain; Yu Gu; Ho Hin Lee; Asma Ben Abacha; Alberto Santamaría-Pang; Will Guyman; Naiteek Sangani; Sheng Zhang; Hoifung Poon; Stephanie L. Hyland; et al. (CoRR, 2024)

Scalable Drift Monitoring in Medical Imaging AI. - Jameson Merkow; Felix J. Dorfner; Xiyu Yang; Alexander Ersoy; Giridhar Dasegowda; Mannudeep K. Kalra; Matthew P. Lungren; Christopher P. Bridge; Ivan Tarapov (CoRR, 2024)

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation. - Alberto Santamaría-Pang; Frank Tuan; Ross Campbell; Cindy Zhang; Ankush Jindal; Roopa Surapur; Brad Holloman; Deanna Hanisch; Rae Buckley; Carisa Cooney; Ivan Tarapov; Kimberly S. Peairs; et al. (CoRR, 2025)

Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations. - Ho Hin Lee; Alberto Santamaría-Pang; Jameson Merkov; Matthew P. Lungren; Ivan Tarapov (CoRR, 2025)

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation. - Md Mahfuz Al Hasan; Mahdi Zaman; Abdul Jawad; Alberto Santamaría-Pang; Ho Hin Lee; Ivan Tarapov; Kyle See; Md Shah Imran; Antika Roy; Yaser Pourmohammadi Fallah; Navid Asadizanjani; Reza Forghani (CoRR, 2025)

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification. - Xue Li; Jameson Merkow; Noel C. F. Codella; Alberto Santamaría-Pang; Naiteek Sangani; Alexander Ersoy; Christopher Burt; John W. Garrett; Richard J. Bruce; Joshua D. Warner; Tyler J. Bradshaw; Ivan Tarapov; et al. (CoRR, 2025)