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Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models


Nov 21, 2022
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled K. Saab, Christopher Lee-Messer, Daniel L. Rubin


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TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring


Jul 22, 2022
Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

* Keywords: Mistrust Scores, Latent-Space, Model monitoring, Trustworthy AI, Explainable AI, Semantic-guided AI 

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Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports


Feb 28, 2022
Alexander Berdichevsky, Mor Peleg, Daniel L. Rubin

* 11 single spaced pages(current version is double spaced), 3 tables, 4 figures 

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SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging


Jul 06, 2021
Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin


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COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs


May 20, 2021
Vignav Ramesh, Blaine Rister, Daniel L. Rubin

* 8 pages, 5 figures 

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Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training


Apr 16, 2021
Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer


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Addressing catastrophic forgetting for medical domain expansion


Mar 24, 2021
Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, Mehak Aggarwal, Nishanth Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer

* First three authors contributed equally 

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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation


Feb 02, 2021
Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin


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Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset


Oct 15, 2020
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, Daniel L. Rubin


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Probabilistic bounds on data sensitivity in deep rectifier networks


Jul 13, 2020
Blaine Rister, Daniel L. Rubin


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