Sotabase

Career

· Head of Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology (MIT)1999–2004
· Associate Department Head for Computer Science, Massachusetts Institute of Technology (MIT)1993–1998
· Dugald C. Jackson Professor of Computer Science and Electrical Engineering, Massachusetts Institute of Technology (MIT)1979–
· Faculty Member, University of Southern California1975–1978
· Doctorate in Computer Science, University of Toronto1975–
· Master of Science in Applied Mathematics, Brown University1972–
· Bachelor of Arts in English, Brown University1971–

Publications (522)

VoxelMorph: A Learning Framework for Deformable Medical Image Registration
IEEE Transactions on Medical Imaging · 2018
1,926
cited
Eulerian video magnification for revealing subtle changes in the world
ACM Transactions on Graphics · 2012
1,477
cited
What is the State of Neural Network Pruning?
Conference on Machine Learning and Systems · 2020
1,196
cited
Larch: Languages and Tools for Formal Specification
Texts and Monographs in Computer Science · 1993
806
cited
ANTS: a toolkit for building and dynamically deploying network protocols
1998 IEEE Open Architectures and Network Programming · 1998
737
cited
An Unsupervised Learning Model for Deformable Medical Image Registration
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
675
cited
Licensed under Creative Commons Attribution Cc by Dynamic Heterogeneity-aware Resource Provisioning in the Cloud
640
cited
Application of Machine Learning To Epileptic Seizure Detection
International Conference on Machine Learning · 2010
607
cited
Detecting Pulse from Head Motions in Video
2013 IEEE Conference on Computer Vision and Pattern Recognition · 2013
575
cited
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization · 2019
541
cited
A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System
IEEE Journal of Solid-State Circuits · 2010
529
cited
Abstract data types and software validation
CACM · 1978
452
cited
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Medical Image Anal. · 2019
439
cited
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
Computer Vision and Pattern Recognition · 2019
433
cited
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2018
405
cited
A Framework for Understanding Unintended Consequences of Machine Learning
arXiv.org · 2019
391
cited
The specification and application to programming of abstract data types.
1975
362
cited
Do as AI say: susceptibility in deployment of clinical decision-aids
npj Digital Medicine · 2021
348
cited
Abstract data types and the development of data structures
CACM · 1977
330
cited
Synthesizing Images of Humans in Unseen Poses
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
324
cited
Sotabase