
Presenting at the COMPASS Webinar on Automated 3D Medical Image Segmentation, Sept 2025.
I am an MSE Data Science Student at the University of Pennsylvania, with interests in Artificial Intelligence Applications in Health and Medicine. My research spans Computer Vision, Medical Image Analysis, Multi-Omic Data Integration, and Trustworthy AI for Healthcare Delivery, Developing Reliable and Interpretable Clinical Decision Support Tools.
Kwame Nkrumah University of Science and Technology (KNUST)
University of Pennsylvania (UPenn)
Kumasi Centre for Collaborative Research in Tropical Medicine • Oct 2024 - Oct 2025
Responsible Artificial Intelligence Lab (RAIL) • Oct 2023 - Feb 2024

Toufiq Musah, Chinasa Kalaiwo, Maimoona Akram, Ubaida Napari Abdulai, Maruf Adewole, Farouk Dako, Adaobi Chiazor Emegoakor, Udunna C Anazodo, Prince Ebenezer Adjei, Confidence Raymond, Medical Image Computing in Resource Constrained Settings Workshop. 28th International MICCAI Conference, (2025), arXiv:2508.17768.
[arXiv]
Claudia Takyi Ankomah, Livingstone Eli Ayivor, Ireneaus Nyame, Leslie Wambo, Patrick Yeboah Bonsu, Aondona Moses Iorumbur, Raymond Confidence, Toufiq Musah, Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation. 28th International MICCAI Conference, (2025), arXiv:2510.03568.
[arXiv]
Toufiq Musah, Prince Ebenezer Adjei, Kojo Obed Otoo (2024). Medical Image Computing and Computer Assisted Interventions 2240, 9.
[Springer] [arXiv]
Toufiq Musah. Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care: Second Deep Breast Workshop, Deep-Breath (2025)
[Springer] [arXiv]
Toufiq Musah, C Amoako-Atta, JA Otu, LE Ismaila, SA Suraka, O Williams, ... Medical Image Computing in Resource Constrained Settings Workshop. 28th International MICCAI Conference, (2025), arXiv:2508.10905.
[arXiv]