Sotabase

Career

· Researcher, MIT Center for Computational Science and Engineering (CCSE)2024–
· PhD in theoretical physics, Massachusetts Institute of Technology1935–
· Teaching Fellow in Physics, Massachusetts Institute of Technology1935–1936
· Research Assistant, Massachusetts Institute of Technology1931–1932
· SB in aeronautical engineering, Massachusetts Institute of Technology1931–

Publications (118)

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
JAMA ophthalmology · 2018
521
cited
Distributed deep learning networks among institutions for medical imaging
J. Am. Medical Informatics Assoc. · 2018
307
cited
Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries
The Lancet · 2021
228
cited
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
Neuro-Oncology · 2019
156
cited
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity
British Journal of Ophthalmology · 2018
149
cited
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
npj Digital Medicine · 2020
116
cited
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.
JAMA ophthalmology · 2019
94
cited
High-resolution medical image synthesis using progressively grown generative adversarial networks
arXiv.org · 2018
89
cited
The GINSENG system for wireless monitoring and control
ACM Trans. Sens. Networks · 2013
72
cited
A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment.
JAMA ophthalmology · 2019
64
cited
Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.
Ophthalmology Retina · 2019
57
cited
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
arXiv.org · 2017
53
cited
Evaluation of a novel retinopathy of prematurity severity scale applied by clinicians and deep learning.
Ophthalmology (Rochester, Minn.) · 2020
49
cited
Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach
Translational Vision Science & Technology · 2020
45
cited
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma.
Radiology: Artificial Intelligence · 2021
43
cited
DeepNeuro: an open-source deep learning toolbox for neuroimaging
Neuroinformatics · 2018
40
cited
GINSENG: Performance Control in Wireless Sensor Networks
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks · 2010
39
cited
Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity.
Journal of AAPOS · 2020
37
cited
BurstProbe: Debugging Time-Critical Data Delivery in Wireless Sensor Networks
European Conference/Workshop on Wireless Sensor Networks · 2011
34
cited
Federated learning for multi-center collaboration in ophthalmology: improving classification performance in retinopathy of prematurity.
Ophthalmology Retina · 2022
31
cited
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