Sotabase

Career

· Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and of Biomedical Data Science, Stanford University2017–
· Post-Doctoral Scholar, Stanford University2017–
· PhD in Bioengineering, Stanford University2012–2017
· BS in Bioengineering, University of California San Diego2008–2012

Publications (168)

Self-supervised learning for medical image classification: a systematic review and implementation guidelines
npj Digit. Medicine · 2023
367
cited
Super‐resolution musculoskeletal MRI using deep learning
Magnetic Resonance in Medicine · 2018
342
cited
TorchXRayVision: A library of chest X-ray datasets and models
International Conference on Medical Imaging with Deep Learning · 2021
167
cited
Measuring Robustness in Deep Learning Based Compressive Sensing
International Conference on Machine Learning · 2021
89
cited
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
AAAI Conference on Artificial Intelligence · 2023
81
cited
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation
NeurIPS Datasets and Benchmarks · 2022
81
cited
OpenCap: 3D human movement dynamics from smartphone videos
bioRxiv · 2022
80
cited
DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
International Conference on Learning Representations · 2023
73
cited
Simultaneous NODDI and GFA parameter map generation from subsampled q‐space imaging using deep learning
Magnetic Resonance in Medicine · 2018
72
cited
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Radiology: Artificial Intelligence · 2020
69
cited
Low-count whole-body PET with deep learning in a multicenter and externally validated study
npj Digital Medicine · 2021
68
cited
Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers
Journal of Magnetic Resonance Imaging · 2020
67
cited
Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis
Journal of Magnetic Resonance Imaging · 2019
59
cited
Five‐minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double‐echo in steady‐state at 3T
Journal of Magnetic Resonance Imaging · 2018
57
cited
ViLMedic: a framework for research at the intersection of vision and language in medical AI
Annual Meeting of the Association for Computational Linguistics · 2022
52
cited
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
Magnetic Resonance Materials in Physics, Biology and Medicine · 2019
48
cited
Evaluation of a Flexible 12-Channel Screen-printed Pediatric MRI Coil.
Radiology · 2019
47
cited
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images
Osteoarthritis and Cartilage · 2022
47
cited
Diagnostic Accuracy of Quantitative Multi-Contrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement.
AJR. American journal of roentgenology · 2020
45
cited
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
medRxiv · 2021
42
cited
Sotabase
Akshay Chaudhari | Researcher Profile | Sotabase | Sotabase