Mohammed Baharoon

According to our database, Mohammed Baharoon authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

RadGame: An AI-Powered Platform for Radiology Education.

Mohammed Baharoon, Siavash Raissi, John S. Jun, Thibault Heintz, Mahmoud Hussain Alabbad, Ali Alburkani, Sung Eun Kim, Kent Ryan Kleinschmidt, Abdulrahman O. Alhumaydhi, Mohannad Mohammed G. Alghamdi, Jeremy Palacio, Mohammed Bukhaytan, Noah Michael Prudlo, Rithvik Akula, Brady Chrisler, Benjamin Galligos, Mohammed O. Almutairi, Mazeen Mohammed Alanazi, Nasser M. Alrashdi, Joel Jihwan Hwang, Sri Sai Dinesh Jaliparthi, Luke David Nelson, Nathaniel Nguyen, Sathvik Suryadevara, Steven Kim, Mohammed F. Mohammed, Yevgeniy R. Semenov, Kun-Hsing Yu, Abdulrhman Aljouie, Hassan Rayhan AlOmaish, Adam Rodman, Pranav Rajpurkar

CoRR, September, 2025

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.

Julián Nicolás Acosta, Scott J. Adams, Julius Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar

CoRR, July, 2025

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.

Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, Pranav Rajpurkar

CoRR, July, 2025

MedSAM2: Segment Anything in 3D Medical Images and Videos.

Jun Ma, Zongxin Yang, Sumin Kim, Bihui Chen, Mohammed Baharoon, Adibvafa Fallahpour, Reza Asakereh, Hongwei Lyu, Bo Wang

CoRR, April, 2025

Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations.

Mohammed Baharoon, Jonathan Klein, Dominik L. Michels

Trans. Mach. Learn. Res., 2025

Exploring the Design Space of 3D MLLMs for CT Report Generation.

Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Segment Anything in Medical Images and Videos: Benchmark and Deployment.

Jun Ma, Sumin Kim, Feifei Li, Mohammed Baharoon, Reza Asakereh, Hongwei Lyu, Bo Wang

CoRR, 2024

2023

Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.

Mohammed Baharoon, Waseem Qureshi, Jiahong Ouyang, Yanwu Xu, Abdulrhman Aljouie, Wei Peng

CoRR, 2023

HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors.

Mohammed Baharoon, Hessa Almatar, Reema Alduhayan, Tariq Aldebasi, Badr Alahmadi, Yahya Bokhari, Mohammed Alawad, Ahmed Almazroa, Abdulrhman Aljouie

CoRR, 2023