Raymond H. Mak

According to our database, Raymond H. Mak authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation.

Suraj Pai, Thibault Heintz, Cosmin Ciausu, Marion Tonneau, Hugo J. W. L. Aerts, Raymond H. Mak

CoRR, May, 2026

MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging.

Leonard Nürnberg, Dennis Bontempi, Suraj Pai, Curtis Lisle, Steven D. Pieper, Ron Kikinis, Sil van de Leemput, Rahul Soni, Gowtham Murugesan, Cosmin Ciausu, Miriam Groeneveld, Felix J. Dorfner, Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan, Joeran S. Bosma, Keno K. Bressem, Raymond H. Mak, Andrey Fedorov, Hugo J. W. L. Aerts

CoRR, January, 2026

2025

Beyond the Algorithm: A Field Guide to Deploying AI Agents in Clinical Practice.

Jack Gallifant, Katherine C. Kellogg, Matt Butler, Amanda Centi, Shan Chen, Patrick F. Doyle, Sayon Dutta, Joyce Guo, Matthew J. Hadfield, Esther Hahyeon Kim, David E. Kozono, Hugo J. W. L. Aerts, Adam B. Landman, Raymond H. Mak, Rebecca Grochow Mishuris, Tanna L. Nelson, Guergana K. Savova, Elad Sharon, Benjamin C. Silverman, Umit Topaloglu, Jeremy L. Warner, Danielle S. Bitterman

CoRR, September, 2025

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face).

Fridolin Haugg, Grace Lee, John He, Leonard Nürnberg, Dennis Bontempi, Danielle S. Bitterman, Paul J. Catalano, Vasco Prudente, Dmitrii Glubokov, Andrew Warrington, Suraj Pai, Dirk De Ruysscher, Christian V. Guthier, Benjamin H. Kann, Vadim N. Gladyshev, Hugo J. W. L. Aerts, Raymond H. Mak

CoRR, June, 2025

Vision Foundation Models for Computed Tomography.

Suraj Pai, Ibrahim Hadzic, Dennis Bontempi, Keno K. Bressem, Benjamin H. Kann, Andriy Fedorov, Raymond H. Mak, Hugo J. W. L. Aerts

CoRR, January, 2025

2024

Large language models to identify social determinants of health in electronic health records.

Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

npj Digit. Medicine, 2024

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy.

Yining Zha, Benjamin H. Kann, Zezhong Ye, Anna Zapaishchykova, John He, Shu-Hui Hsu, Jonathan E. Leeman, Kelly J. Fitzgerald, David E. Kozono, Raymond H. Mak, Hugo J. W. L. Aerts

CoRR, 2024

2023

The impact of using an AI chatbot to respond to patient messages.

Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann, Fallon E. Chipidza, Jonathan Leeman, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman

CoRR, 2023

Large Language Models to Identify Social Determinants of Health in Electronic Health Records.

Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

CoRR, 2023

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy.

Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L. Warner, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

CoRR, 2023

2021

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer.

Roman Zeleznik, Jakob Weiss, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts

npj Digit. Medicine, 2021

Deep learning-based detection of intravenous contrast in computed tomography scans.

Zezhong Ye, Jack M. Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H. Mak, Hugo J. W. L. Aerts, Benjamin H. Kann

CoRR, 2021

2020

Extracting Relations between Radiotherapy Treatment Details.

Danielle S. Bitterman, Timothy Miller, David Harris, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond H. Mak, Guergana Savova

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020