Scholar
Muhammad Shaban
Google Scholar ID: 8-nvcSQAAAAJ
Brigham and Women's Hospital, Harvard Medical School
Citations & Impact
Citations
7,889
H-index
25
i10-index
27
Publications
20
Co-authors
30
list available
Publications
Resume (English only)
Academic Achievements
- Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction - Accepted in Nature Biomedical Engineering, 2024
- MAPS: Pathologist-level cell type annotation from tissue images through machine learning - Nature Communications, 2024
- A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma - The Journal of Pathology, 2021
- Context-aware convolutional neural network for grading of colorectal cancer histology images - IEEE Transactions on Medical Imaging (TMI), 2020
- A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma - Scientific Reports, 2019
- An information fusion framework for person localization via body pose in spectator crowds - Information Fusion, 2019
Education
- PhD in Computer Science, University of Warwick, Coventry, UK
Background
- A research scientist with over seven years of experience in computer vision, deep learning, and AI-driven medical image analysis. My current research focuses on developing advanced AI models for multiplex spatial proteomics image analysis, driving innovation in the intersection of computational pathology and AI.
