Scholar
Shadab Ahamed
Google Scholar ID: 1Q18o74AAAAJ
University of British Columbia, Vancouver
Generative Modeling
Multiscale Modeling
Anomaly Detection
Medical Image Analysis
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Citations
101
H-index
5
i10-index
3
Publications
20
Co-authors
50
list available
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Publications
8 items
Preconditioned Score and Flow Matching
2026
Cited
0
Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images
2025
Cited
0
Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling
2025
Cited
0
Inversion of Magnetic Data using Learned Dictionaries and Scale Space
2025
Cited
0
Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
2025
Cited
0
Multiscale Training of Convolutional Neural Networks
2025
Cited
0
DAWN-SI: Data-Aware and Noise-Informed Stochastic Interpolation for Solving Inverse Problems
arXiv.org · 2024
Cited
0
Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling: a Multi-Center, Multi-Cancer, and Multi-Tracer Study
2024
Cited
0
Co-authors
9 total
Arman Rahmim
Professor of Radiology, Physics and Biomedical Engineering, University of British Columbia
Obed Dzikunu
University of British Columbia
Maziar Sabouri
Department of Physics and Astronomy, University of British Columbia
Rahul Dodhia
Deputy Director, AI for Good Research Lab, Microsoft
Juan M. Lavista Ferres
Chief Scientist and Lab Director, Microsoft AI for Good Research Lab
Sara Harsini, MD, MPH
Department of Medical Imaging, University of Toronto
Eldad Haber
Professor of Mathematics and Geophysics UBC
Natalia Dubljevic
MSc Candidate, University of Calgary
