I’m a Machine Learning Engineer III at PathAI, developing AI-powered pathology solutions to improve patient outcomes. Previously, I completed my Ph.D. in Computer Science from Wu-Lab at Arizona State University, co-advised by Dr. Teresa Wu and Dr. Baoxin Li
Broadly, my research interests span Generative AI, Deep Learning and Medical ImagingDuring my Ph.D., I worked on AI-driven early detection of brain disorders (Alzhiemer's Disease & Headaches). Specifically:
- Capturing brain-aging signatures in Alzheimer's Disease & Headache disorders
- Medical image super-resolution using to enhance quantitative accuracy
- Medical imaging quantization
These research projects were in joint collaboration with Mayo Clinic, Banner Alzheimer's Institute and Barrow Neurological Institute in Arizona. My CV
Also the host of Jay Shah Podcast on YouTube where I interview AI engineers, researchers, and practitioners to share their journey, insights, and advice for newcomers to the field.
Research
Publications
Google Scholar for latest updates-
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
Jay Shah, Md Mahfuzur R. Siddiquee, Yi Su, Teresa Wu, Baoxin Li
In Proceedings of the IEEE/CVF WACV 2024.
link arxiv pdf code -
Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
Jay Shah, Fei Gao, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Yuxiang Zhou, Tammie Benzinger, Eric Reiman, Kewei Chen, Yi Su, Teresa Wu
Alzheimer's & Dementia, the Journal of Alzheimer's Association, 2022
link pdf code -
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
Md Mahfuzur R. Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li
In Proceedings of the IEEE/CVF WACV 2024.
link arxiv pdf code -
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease
Md Mahfuzur R. Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li
Simulation and Synthesis in Medical Imaging (SASHIMI), 2022 [MICCAI workshop]
link arxiv pdf code -
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models
Jay Shah, Yiming Che, Javad Sohankar, Baoxin Li, Yi Su, Teresa Wu
Life Journal, 2024
link preprint pdf code -
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
Yiming Che, Fazle Rafsani, Jay Shah, Md Mahfuzur R. Siddiquee, Teresa Wu
link arxiv pdf code