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Marzyeh Ghassemi

University of Toronto, Vector Institute

Medical Dead-ends and Learning to Identify High-risk States and Treatments


Oct 08, 2021
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi


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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing


Aug 27, 2021
Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi

* Published in CIKM 2021 

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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations


Aug 27, 2021
Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah


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Reading Race: AI Recognises Patient's Racial Identity In Medical Images


Jul 21, 2021
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P Lungren, Lyle Palmer, Brandon J Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W Gichoya

* Submitted to the Lancet 

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Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning


Jul 20, 2021
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer


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An Empirical Framework for Domain Generalization in Clinical Settings


Apr 15, 2021
Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi

* Published at ACM CHIL 2021 

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An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare


Nov 23, 2020
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

* To appear in proceedings of the 2020 Machine Learning for Health workshop at NeurIPS 

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Confounding Feature Acquisition for Causal Effect Estimation


Nov 17, 2020
Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi


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Improving Dialogue Breakdown Detection with Semi-Supervised Learning


Oct 30, 2020
Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo

* 6 pages, 1 figure, accepted at the NeurIPS Workshop on Human in the Loop Dialogue Systems 

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Multiple Sclerosis Severity Classification From Clinical Text


Oct 29, 2020
Alister D Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor Killian, Marzyeh Ghassemi

* EMNLP 2020 Clinical NLP workshop 

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Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings


Oct 13, 2020
Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi


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Ethical Machine Learning in Health Care


Oct 08, 2020
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

* Annual Reviews in Biomedical Data Science 2021 

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SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness


Oct 04, 2020
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi

* 16 pages, 8 figures, to be published in EMNLP 2020 

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S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning


Oct 01, 2020
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi


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Probabilistic Machine Learning for Healthcare


Sep 23, 2020
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath

* Annual Reviews of Biomedical Data Science 2021 

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A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data


Jul 20, 2020
Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi


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CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output


Jun 26, 2020
Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits

* To appear at MLHC 2020 

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COVID-19 Image Data Collection: Prospective Predictions Are the Future


Jun 22, 2020
Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q Duong, Marzyeh Ghassemi

* Code for baseline experiments can be found here: https://github.com/mlmed/torchxrayvision/tree/master/scripts/covid-baselines 

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Counterfactually Guided Policy Transfer in Clinical Settings


Jun 20, 2020
Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

* 25 pages (including appendix), 14 figures 

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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning


Jun 06, 2020
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q Duong

* This work has been submitted to Radiology: Artificial Intelligence for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings


Mar 11, 2020
Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew McDermott, Marzyeh Ghassemi

* Accepted at ACM CHIL 2020 (Spotlight) 

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CheXclusion: Fairness gaps in deep chest X-ray classifiers


Feb 14, 2020
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Marzyeh Ghassemi


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Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation


Dec 04, 2019
Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi

* Accepted to ML4H at NeurIPS 2019 

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Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks


Aug 02, 2019
Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi


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MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III


Jul 19, 2019
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi


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