Sotabase

Career

· Chief Scientific Officer & Co-Founder, Ataraxis AI2022–
· Adjunct Assistant Professor, NYU Grossman School of Medicine2018–
· Postdoctoral Researcher, New York University2016–2018
· Doctor of Philosophy (PhD) in Informatics, The University of Edinburgh2011–2016
· Bachelor of Science (BSc) in Computer Science, University of Warsaw
· Master of Science (MSc) in Computer Science, University of Warsaw

Publications (139)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
arXiv.org · 2018
984
cited
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
IEEE Transactions on Medical Imaging · 2019
560
cited
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Radiology: Artificial Intelligence · 2020
446
cited
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
JAMA Network Open · 2020
325
cited
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
International Conference on Learning Representations · 2016
255
cited
Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
Radiology · 2019
243
cited
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
arXiv.org · 2017
239
cited
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Nature Communications · 2021
198
cited
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Medical Image Anal. · 2020
187
cited
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
International Conference on Learning Representations · 2020
186
cited
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.
Radiology · 2020
183
cited
Machine learning in breast MRI
Journal of Magnetic Resonance Imaging · 2019
138
cited
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
npj Digital Medicine · 2021
126
cited
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
International Conference on Machine Learning · 2022
114
cited
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Nature Medicine · 2023
102
cited
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
AJR. American journal of roentgenology · 2019
98
cited
Improving breast cancer diagnostics with artificial intelligence for MRI
Science Translational Medicine · 2022
79
cited
Breast Density Classification with Deep Convolutional Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2017
77
cited
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
International Conference on Machine Learning · 2020
77
cited
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
Machine Learning in Health Care · 2022
73
cited
Sotabase