Marzyeh Ghassemi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Vision-Language Models Do Not Understand Negation	2025	Kumail Alhamoud Shaden Alshammari Yonglong Tian Guohao Li Philip H. S. Torr Yoon Kim Marzyeh Ghassemi
+ PDF Chat	Generative AI in Medicine	2024	Divya Shanmugam Monica Agrawal Rajiv Movva Irene Y. Chen Marzyeh Ghassemi Emma Pierson
+ PDF Chat	MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations	2024	Qixuan Jin Walter Gerych Marzyeh Ghassemi
+ PDF Chat	Identifying Differential Patient Care Through Inverse Intent Inference	2024	Hye-Won Jeong Santanu Kumar Nayak Taylor W. Killian Sanjat Kanjilal Marzyeh Ghassemi
+ PDF Chat	BendVLM: Test-Time Debiasing of Vision-Language Embeddings	2024	Walter Gerych Haoran Zhang Kimia Hamidieh Eileen Pan M.S. Omprakash Sharma Thomas Hartvigsen Marzyeh Ghassemi
+ PDF Chat	Identifying Implicit Social Biases in Vision-Language Models	2024	Kimia Hamidieh Haoran Zhang Walter Gerych Thomas Hartvigsen Marzyeh Ghassemi
+ PDF Chat	A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making	2024	Yubin Kim Chanwoo Park Hyewon Jeong Cristina Grau-Vilchez Yik Siu Chan Xuhai Xu Daniel McDuff Hyeonhoon Lee Marzyeh Ghassemi Cynthia Breazeal
+ PDF Chat	Identifying Implicit Social Biases in Vision-Language Models	2024	Kimia Hamidieh Haoran Zhang Walter Gerych Thomas Hartvigsen Marzyeh Ghassemi
+ PDF Chat	MisinfoEval: Generative AI in the Era of "Alternative Facts"	2024	Saadia Gabriel Liang Lyu James Siderius Marzyeh Ghassemi Jacob Andreas Asu Ozdaglar
+ PDF Chat	Outlining the Borders for LLM Applications in Patient Education: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patient Education	2024	Yuexing Hao Jason Holmes Mark R. Waddle Nathan Y. Yu Kirstin Vickers Heather R. Preston Drew Margolin Corinna E. Löckenhoff Aditya Vashistha Marzyeh Ghassemi
+ PDF Chat	FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging	2024	Kumail Alhamoud Yasir Ghunaim Motasem Alfarra Thomas Hartvigsen Philip H. S. Torr Bernard Ghanem Adel Bibi Marzyeh Ghassemi
+ PDF Chat	LEMoN: Label Error Detection using Multimodal Neighbors	2024	Haoran Zhang Aparna Balagopalan Nassim Oufattole Hye-Won Jeong Yan Wu Jiacheng Zhu Marzyeh Ghassemi
+ PDF Chat	Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection	2024	Saachi Jain Kimia Hamidieh Kristian Georgiev Andrew Ilyas Marzyeh Ghassemi Aleksander Mądry
+ PDF Chat	Measuring Stochastic Data Complexity with Boltzmann Influence Functions	2024	Nathan Ng Roger Grosse Marzyeh Ghassemi
+ PDF Chat	Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation	2024	Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi
+ PDF Chat	Can AI Relate: Testing Large Language Model Response for Mental Health Support	2024	Saadia Gabriel Isha Puri Xuhai Xu Matteo Malgaroli Marzyeh Ghassemi
+	Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention	2024	Adiba Orzikulova Xiao Han Zhipeng Li Yukang Yan Yuntao Wang Yuanchun Shi Marzyeh Ghassemi Sung-Ju Lee Anind K. Dey Xuhai Xu
+ PDF Chat	Application-Driven Innovation in Machine Learning	2024	David Rolnick Alán Aspuru‐Guzik Sara Beery Bistra Dilkina Priya L. Donti Marzyeh Ghassemi Hannah Kerner Claire Monteleoni Esther Rolf Milind Tambe
+ PDF Chat	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium	2024	Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar William Han Nikita Mehandru Michael Wornow Vladislav Lialin Xin Liu
+ PDF Chat	Asymmetry in Low-Rank Adapters of Foundation Models	2024	Jiacheng Zhu Kristjan Greenewald Kimia Nadjahi Haitz Sáez de Ocáriz Borde Rickard Brüel Gabrielsson Leshem Choshen Marzyeh Ghassemi Mikhail Yurochkin Justin Solomon
+	Optimizing warfarin dosing for patients with atrial fibrillation using machine learning	2024	Jeremy Petch Walter Nelson Mary Wu Marzyeh Ghassemi Alexander P. Benz Mehdi Fatemi Shuang Di Anthony P. Carnicelli Christopher B. Granger Robert P. Giugliano
+ PDF Chat	Improving Black-box Robustness with In-Context Rewriting	2024	Kyle O'Brien Nathan Ng Isha Puri Jorge Méndez-Astudillo Hamid Palangi Yoon Kim Marzyeh Ghassemi Thomas Hartvigsen
+	Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study	2024	Niklas Mannhardt Elizabeth Bondi Barbara C.C. Lam Chloe O'Connell Mercy Asiedu Hussein Mozannar Monica Agrawal Alejandro Buendia Tatiana Urman Irbaz Bin Riaz
+	Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit	2023	Ming Ying Yang Gloria Hyunjung Kwak Tom Pollard Leo Anthony Celi Marzyeh Ghassemi
+ PDF Chat	In the Name of Fairness: Assessing the Bias in Clinical Record De-identification	2023	Yuxin Xiao Shulammite Lim Tom Pollard Marzyeh Ghassemi
+ PDF Chat	Machine learning COVID-19 detection from wearables	2023	Bret Nestor Jaryd Hunter Raghu Kainkaryam Erik Drysdale Jeffrey B. Inglis Allison Shapiro Sujay Nagaraj Marzyeh Ghassemi Luca Foschini Anna Goldenberg
+	Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning	2023	Taylor W. Killian Sonali Parbhoo Marzyeh Ghassemi
+	Change is Hard: A Closer Look at Subpopulation Shift	2023	Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi
+	Improving Mutual Information Estimation with Annealed and Energy-Based Bounds	2023	Rob Brekelmans Sicong Huang Marzyeh Ghassemi Greg Ver Steeg Roger Grosse Alireza Makhzani
+	AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT	2023	Edward H. Lee Brendan D. Kelly Emre Altınmakas Hakan Doğan Maryam Mohammadzadeh Errol Colak Steven S. Fu Olivia Choudhury Ujjwal Ratan Felipe Kitamura
+	In the Name of Fairness: Assessing the Bias in Clinical Record De-identification	2023	Yuxin Xiao Shulammite Lim Tom Pollard Marzyeh Ghassemi
+	Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit	2023	Mingying Yang Gloria Hyunjung Kwak Tom Pollard Leo Anthony Celi Marzyeh Ghassemi
+	Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data	2023	Xuhai Xu Bingsheng Yao Yuanzhe Dong Saadia Gabriel Hong Yu James Hendler Marzyeh Ghassemi Anind K. Dey Dakuo Wang
+	Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals	2023	Hye-Won Jeong Collin M. Stultz Marzyeh Ghassemi
+	VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception	2023	Ji‐Young Lee Seungho Kim Seung Won Joonseok Lee Marzyeh Ghassemi James H. Thorne Jae-Seok Choi O-Kil Kwon Edward Choi
+	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare	2023	Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F. Frangi Alena Buyx Anais Emelie Andrea Lara Antonio R. Porras An‐Wen Chan Arcadi Navarro
+	The Limits of Fair Medical Imaging AI In The Wild	2023	Yuzhe Yang Haoran Zhang Judy Wawira Gichoya Dina Katabi Marzyeh Ghassemi
+	Event-Based Contrastive Learning for Medical Time Series	2023	Hyewon Jeong Nassim Oufattole Aparna Balagopalan Matthew B. A. McDermott Payal Chandak Marzyeh Ghassemi Collin M. Stultz
+	Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations	2022	Hammaad Adam Mingying Yang Kenrick Cato Ioana Baldini Charles Senteio Leo Anthony Celi Jiaming Zeng Moninder Singh Marzyeh Ghassemi
+ PDF Chat	The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations	2022	Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi
+ PDF Chat	AI recognition of patient race in medical imaging: a modelling study	2022	Judy Wawira Gichoya Imon Banerjee Ananth Reddy Bhimireddy John L. Burns Leo Anthony Celi Li-Ching Chen Ramón Correa Natalie Dullerud Marzyeh Ghassemi Shih-Cheng Huang
+ PDF Chat	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations	2022	Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi Nigam H. Shah
+	Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning	2022	Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi
+	Semi-Markov Offline Reinforcement Learning for Healthcare	2022	Mehdi Fatemi Mary Wu Jeremy Petch Walter G. Nelson Stuart J. Connolly A. Benz Anthony P. Carnicelli Marzyeh Ghassemi
+	Improving the Fairness of Chest X-ray Classifiers	2022	Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden‐Rayner Stephen Pfohl Marzyeh Ghassemi
+	Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations	2022	Hammaad Adam Mingying Yang Kenrick Cato Ioana Baldini Charles Senteio Leo Anthony Celi Jiaming Zeng Moninder Singh Marzyeh Ghassemi
+	When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction	2022	Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun
+	Predicting Out-of-Domain Generalization with Neighborhood Invariance	2022	Nathan Ng Kyunghyun Cho Neha Hulkund Marzyeh Ghassemi
+	If Influence Functions are the Answer, Then What is the Question?	2022	Juhan Bae Nathan Ng Alston Lo Marzyeh Ghassemi Roger Grosse
+	"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts	2022	Haoran Zhang Harvineet Singh Marzyeh Ghassemi Shalmali Joshi
+	Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors	2022	Thomas Hartvigsen Swami Sankaranarayanan Hamid Palangi Yoon Kim Marzyeh Ghassemi
+	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning	2021	Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Björn Ommer
+	Pulling Up by the Causal Bootstraps	2021	Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi
+	Medical Dead-ends and Learning to Identify High-risk States and Treatments	2021	Mehdi Fatemi Taylor W. Killian Jayakumar Subramanian Marzyeh Ghassemi
+	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations.	2021	Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi Nigam H. Shah
+	Reading Race: AI Recognises Patient's Racial Identity In Medical Images.	2021	Imon Banerjee Ananth Reddy Bhimireddy John L. Burns Leo Anthony Celi Li-Ching Chen Ramón Correa Natalie Dullerud Marzyeh Ghassemi Shih-Cheng Huang Po‐Chih Kuo
+	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning	2021	Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Björn Ommer
+ PDF Chat	Probabilistic Machine Learning for Healthcare	2021	Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath
+ PDF Chat	Dear Watch, Should I get a COVID Test? Designing deployable machine learning for wearables	2021	Anna Goldenberg Bret Nestor Jaryd Hunter Raghu Kainkaryam Erik Drysdale Jeffrey B. Inglis Allison Shapiro Sujay Nagaraj Marzyeh Ghassemi Luca Foschini
+	Dear Watch, Should I Get a COVID-19 Test? Designing deployable machine learning for wearables	2021	Bret Nestor Jaryd Hunter Raghu Kainkaryam Erik Drysdale Jeffrey B. Inglis Allison Shapiro Sujay Nagaraj Marzyeh Ghassemi Luca Foschini Anna Goldenberg
+	Ethical Machine Learning in Healthcare	2021	Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi
+	Digital healthcare tools for the world’s poorest people and places: A new framework for syndromic surveillance forged in the fight against COVID-19 in Somalia. (Preprint)	2021	Shrey Jain Ian M. Furst Marie‐Laure Charpignon Mathew Samuel Kimberly Gire Leo Athony Celi Marzyeh Ghassemi Hodan Ali
+	An empirical framework for domain generalization in clinical settings	2021	Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Quaid Morris Shalmali Joshi Marzyeh Ghassemi
+	An Empirical Framework for Domain Generalization in Clinical Settings	2021	Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Quaid Morris Shalmali Joshi Marzyeh Ghassemi
+	Quantifying the Task-Specific Information in Text-Based Classifications	2021	Zining Zhu Aparna Balagopalan Marzyeh Ghassemi Frank Rudzicz
+	Learning Optimal Predictive Checklists	2021	Haoran Zhang Quaid Morris Berk Ustun Marzyeh Ghassemi
+	Medical Dead-ends and Learning to Identify High-risk States and Treatments	2021	Mehdi Fatemi Taylor W. Killian Jayakumar Subramanian Marzyeh Ghassemi
+	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations	2021	Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi Nigam H. Shah
+	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning	2021	Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Björn Ommer
+	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare	2020	Taylor W. Killian Haoran Zhang Jayakumar Subramanian Mehdi Fatemi Marzyeh Ghassemi
+	Confounding Feature Acquisition for Causal Effect Estimation	2020	Shirly Wang Seung Eun Yi Shalmali Joshi Marzyeh Ghassemi
+ PDF Chat	CheXclusion: Fairness gaps in deep chest X-ray classifiers	2020	Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi
+	Multiple Sclerosis Severity Classification From Clinical Text	2020	Alister D Costa Stefan Denkovski Michal Malyska Sae Young Moon Brandon Rufino Zhen Yang Taylor W. Killian Marzyeh Ghassemi
+	Probabilistic Machine Learning for Healthcare	2020	Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath
+	Ethical Machine Learning in Health	2020	Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi
+	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness	2020	Nathan Ng Kyunghyun Cho Marzyeh Ghassemi
+	COVID-19 Image Data Collection: Prospective Predictions Are the Future	2020	Joseph Cohen Paul Morrison Lan Dao Karsten Roth Timothy Q. Duong Marzyeh Ghassemi
+	Counterfactually Guided Policy Transfer in Clinical Settings	2020	Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi
+	Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning	2020	Joseph Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio Beiyi Shen Almas Abbasi Mahsa Hoshmand-Kochi Marzyeh Ghassemi Haifang Li
+ PDF Chat	MIMIC-Extract	2020	Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi
+ PDF Chat	MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III	2020	Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Marzyeh Ghassemi Michael C. Hughes Tristan Naumann
+ PDF Chat	MIMIC-Extract	2020	Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Marzyeh Ghassemi Michael C. Hughes Tristan Naumann
+	CheXclusion: Fairness gaps in deep chest X-ray classifiers	2020	Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi
+	Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings	2020	Haoran Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi
+	CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output	2020	Matthew B. A. McDermott Tzu Ming Harry Hsu Wei‐Hung Weng Marzyeh Ghassemi Peter Szolovits
+	A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data	2020	Matthew B. A. McDermott Bret Nestor Evan Kim Wei Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi
+	Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings	2020	Vinith M. Suriyakumar Nicolas Papernot Anna Goldenberg Marzyeh Ghassemi
+	Uniform Priors for Data-Efficient Transfer	2020	Samarth Sinha Karsten Roth Anirudh Goyal Marzyeh Ghassemi Hugo Larochelle Animesh Garg
+	Improving Dialogue Breakdown Detection with Semi-Supervised Learning	2020	Nathan Ng Marzyeh Ghassemi Narendran Thangarajan Jiacheng Pan Qi Guo
+	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness	2020	Nathan Ng Kyunghyun Cho Marzyeh Ghassemi
+	Multiple Sclerosis Severity Classification From Clinical Text	2020	Alister D’Costa Stefan Denkovski Michal Malyska Sae Young Moon Brandon Rufino Zhen Yang Taylor W. Killian Marzyeh Ghassemi
+	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare	2020	Taylor W. Killian Haoran Zhang Jayakumar Subramanian Mehdi Fatemi Marzyeh Ghassemi
+	S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning	2020	Karsten Roth Timo Milbich Björn Ommer Joseph Cohen Marzyeh Ghassemi
+	Confounding Feature Acquisition for Causal Effect Estimation	2020	Shirly Wang Seung Eun Yi Shalmali Joshi Marzyeh Ghassemi
+	Multiple Sclerosis Severity Classification From Clinical Text	2020	Alister D Costa Stefan Denkovski Michal Malyska Sae Young Moon Brandon Rufino Zhen Yang Taylor W. Killian Marzyeh Ghassemi
+	Probabilistic Machine Learning for Healthcare	2020	Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath
+	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness	2020	Nathan Ng Kyunghyun Cho Marzyeh Ghassemi
+	Counterfactually Guided Off-policy Transfer in Clinical Settings	2020	Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi
+	Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning	2020	Joseph Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio Beiyi Shen Almas Abbasi Mahsa Hoshmand-Kochi Marzyeh Ghassemi Haifang Li
+	CheXclusion: Fairness gaps in deep chest X-ray classifiers	2020	Laleh Seyyed-Kalantari Guanxiong Liu Matthew J. McDermott Irene Y. Chen Marzyeh Ghassemi
+	COVID-19 Image Data Collection: Prospective Predictions Are the Future	2020	Joseph Cohen Paul Morrison Lan Dao Karsten Roth Timothy Q. Duong Marzyeh Ghassemi
+	Towards Characterizing the High-dimensional Bias of Kernel-based Particle Inference Algorithms	2019	Jimmy Ba Murat A. Erdogdu Marzyeh Ghassemi Taiji Suzuki Shengyang Sun Denny Wu Tianzong Zhang
+	COOS-7 (Cells Out Of Sample 7-Class)	2019	Alex X. Lu Amy X. Lu Wiebke Schormann Marzyeh Ghassemi David W. Andrews Alan M Moses
+	COOS-7 (Cells Out Of Sample 7-Class)	2019	Alex X. Lu Amy X. Lu Wiebke Schormann Marzyeh Ghassemi David W. Andrews Alan M Moses
+	COOS-7 (Cells Out Of Sample 7-Class)	2019	Alex X. Lu Amy X. Lu Wiebke Schormann Marzyeh Ghassemi David W. Andrews Alan M Moses
+ PDF Chat	Turning the crank for machine learning: ease, at what expense?	2019	Tom Pollard Irene A. Chen Jenna Wiens Steven Horng D. J. N. Wong Marzyeh Ghassemi Heather Mattie Emily Lindemer Trishan Panch
+	Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders	2019	Denny Wu Hirofumi Kobayashi Charles Ding Lei Cheng Keisuke Goda Marzyeh Ghassemi
+	Clinically Accurate Chest X-Ray Report Generation	2019	Guanxiong Liu Tzu-Ming Harry Hsu Matthew B. A. McDermott Willie Boag Wei‐Hung Weng Peter Szolovits Marzyeh Ghassemi
+	The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers	2019	Alex X. Lu Amy X. Lu Wiebke Schormann Marzyeh Ghassemi David W. Andrews Alan M Moses
+	Reproducibility in Machine Learning for Health	2019	Matthew B. A. McDermott Shirly Wang Nikki Marinsek Rajesh Ranganath Marzyeh Ghassemi Luca Foschini
+	Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks	2019	Bret Nestor Matthew B. A. McDermott Willie Boag Gabriela Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi
+	The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers	2019	Alex X. Lu Amy X. Lu Wiebke Schormann Marzyeh Ghassemi David W. Andrews Alan M Moses
+	Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation	2019	Aparna Balagopalan Jekaterina Novikova Matthew B. A. McDermott Bret Nestor Tristan Naumann Marzyeh Ghassemi
+	The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech.	2018	Aparna Balagopalan Jekaterina Novikova Frank Rudzicz Marzyeh Ghassemi
+	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018.	2018	Hui Li Andrew L. Beam Brett K. Beaulieu‐Jones Irene A. Chen Corey Chivers Adrian V. Dalca Samuel G. Finlayson Madalina Fiterau Jason Fries Marzyeh Ghassemi
+	Racial Disparities and Mistrust in End-of-Life Care	2018	Willie Boag Harini Suresh Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Modeling Mistrust in End-of-Life Care.	2018	Willie Boag Harini Suresh Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Opportunities in Machine Learning for Healthcare.	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Rajesh Ranganath
+	A Review of Challenges and Opportunities in Machine Learning for Health	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Irene Y. Chen Rajesh Ranganath
+	ClinicalVis: Supporting Clinical Task-Focused Design Evaluation	2018	Marzyeh Ghassemi Mahima Pushkarna James Wexler Jesse W. Johnson Paul Varghese
+	Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation	2018	Bret Nestor Matthew B. A. McDermott Geeticka Chauhan Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi
+	A Review of Challenges and Opportunities in Machine Learning for Health	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Irene Y. Chen Rajesh Ranganath
+	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018	2018	Hui Li Andrew L. Beam Brett K. Beaulieu‐Jones Irene Chen Corey Chivers Adrian V. Dalca Sam Finlayson Madalina Fiterau Jason Fries Marzyeh Ghassemi
+	Modeling Mistrust in End-of-Life Care	2018	Willie Boag Harini Suresh Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech	2018	Aparna Balagopalan Jekaterina Novikova Frank Rudzicz Marzyeh Ghassemi
+	Racial Disparities and Mistrust in End-of-Life Care	2018	Willie Boag Harini Suresh Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data	2017	Maggie Makar Marzyeh Ghassemi David Cutler Ziad Obermeyer
+	Deep Reinforcement Learning for Sepsis Treatment	2017	Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	The Use of Autoencoders for Discovering Patient Phenotypes	2017	Harini Suresh Peter Szolovits Marzyeh Ghassemi
+	Clinical Intervention Prediction and Understanding using Deep Networks	2017	Harini Suresh Nathan Hunt Alistair E. W. Johnson Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach	2017	Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data	2017	Maggie Makar Marzyeh Ghassemi David Cutler Ziad Obermeyer
+	Deep Reinforcement Learning for Sepsis Treatment	2017	Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi
+	Uncovering Voice Misuse Using Symbolic Mismatch	2016	Marzyeh Ghassemi Zeeshan Syed Daryush D. Mehta Jarrad H. Van Stan Robert E. Hillman John V. Guttag
+	Uncovering Voice Misuse Using Symbolic Mismatch	2016	Marzyeh Ghassemi Zeeshan Syed Daryush D. Mehta Jarrad H. Van Stan Robert E. Hillman John V. Guttag
+ PDF Chat	Short-Term Mortality Prediction for Elderly Patients Using Medicare Claims Data	2015	Maggie Makar Marzyeh Ghassemi David Cutler Ziad Obermeyer

Common Coauthors

Coauthor	Papers Together
Haoran Zhang	19
Matthew B. A. McDermott	16
Leo Anthony Celi	14
Shalmali Joshi	13
Tristan Naumann	12
Peter Szolovits	12
Taylor W. Killian	11
Karsten Roth	11
Irene Y. Chen	11
Thomas Hartvigsen	8
Aparna Balagopalan	8
Anna Goldenberg	7
Laleh Seyyed-Kalantari	7
Kimia Hamidieh	7
Bret Nestor	7
Rajesh Ranganath	7
Harini Suresh	6
Mehdi Fatemi	6
Willie Boag	6
Natalie Dullerud	6
Shirly Wang	6
Amy X Lu	6
Michael C. Hughes	5
Alex X. Lu	5
Joseph Cohen	5
Alan M Moses	5
Wiebke Schormann	5
David W. Andrews	5
Andrew L. Beam	5
Samarth Sinha	4
Kyunghyun Cho	4
Guanxiong Liu	4
Tom Pollard	4
Nathan Ng	4
Peter Schulam	4
Björn Ommer	4
Stephen Pfohl	4
Timo Milbich	4
Walter Gerych	4
Emma Pierson	4
Judy Wawira Gichoya	4
Timothy Q. Duong	4
Luca Foschini	4
Paul Morrison	4
Geeticka Chauhan	4
Nathan Ng	4
Jeffrey B. Inglis	3
Jason Fries	3
Allison Shapiro	3
Mingying Yang	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Recurrent Neural Networks for Multivariate Time Series with Missing Values	2018	Zhengping Che Sanjay Purushotham Kyunghyun Cho David Sontag Yan Liu	13
+ PDF Chat	Multitask learning and benchmarking with clinical time series data	2019	Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan	13
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	9
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	9
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	9
+ PDF Chat	Scalable and accurate deep learning with electronic health records	2018	Alvin Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj Michaela Hardt Peter J. Liu Xiaobing Liu Jake Marcus Mimi Sun	8
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	8
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	7
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	6
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	6
+	Opportunities in Machine Learning for Healthcare.	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Rajesh Ranganath	6
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	6
+	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism	2016	Edward Choi Mohammad Taha Bahadori Jimeng Sun Joshua A. Kulas Andy Schuetz Walter F. Stewart	6
+ PDF Chat	Characterizing treatment pathways at scale using the OHDSI network	2016	George Hripcsak Patrick Ryan Jon Duke Nigam H. Shah Rae Woong Park Vojtech Huser Marc A. Suchard Martijn J. Schuemie Frank DeFalco Adler Perotte	6
+ PDF Chat	PadChest: A large chest x-ray image dataset with multi-label annotated reports	2020	Aurelia Bustos Antonio Pertusa José María Salinas María de la Iglesia-Vayá	6
+	A Review of Challenges and Opportunities in Machine Learning for Health	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Irene Y. Chen Rajesh Ranganath	6
+	Why Is My Classifier Discriminatory	2018	Irene Y. Chen Fredrik Johansson David Sontag	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+ PDF Chat	Parameterizing time in electronic health record studies	2015	George Hripcsak David J. Albers Adler Perotte	5
+	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging	2020	Luke Oakden‐Rayner Jared Dunnmon Gustavo Carneiro Christopher Ré	5
+	MIMIC-CXR: A large publicly available database of labeled chest radiographs	2019	Alistair E. W. Johnson Tom Pollard Seth J. Berkowitz Nathaniel R. Greenbaum Matthew P. Lungren Chih-Ying Deng Roger G. Mark Steven Horng	5
+	An empirical characterization of fair machine learning for clinical risk prediction	2020	Stephen Pfohl Agata Foryciarz Nigam H. Shah	5
+ PDF Chat	Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning	2018	Ryan Poplin Avinash V. Varadarajan Katy Blumer Yun Liu Michael V. McConnell Greg S. Corrado Lily Peng Dale R. Webster	5
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	5
+	CheXclusion: Fairness gaps in deep chest X-ray classifiers	2020	Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi	5
+ PDF Chat	Informing sequential clinical decision-making through reinforcement learning: an empirical study	2010	Susan M. Shortreed Eric B. Laber Daniel J. Lizotte T. Scott Stroup Joëlle Pineau Susan A. Murphy	5
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	4
+	Reinforcement Learning in Healthcare: A Survey	2019	Chao Yu Jiming Liu Shamim Nemati	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	4
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	4
+	Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk	2019	Stephen Pfohl Ben J. Marafino Adrien Coulet Fátima Rodríguez Latha Palaniappan Nigam H. Shah	4
+ PDF Chat	CheXclusion: Fairness gaps in deep chest X-ray classifiers	2020	Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi	4
+	Ethical Machine Learning in Healthcare	2021	Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi	4
+ PDF Chat	Benchmarking machine learning models on multi-centre eICU critical care dataset	2020	Seyedmostafa Sheikhalishahi Vevake Balaraman Venet Osmani	4
+	Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms.	2018	Adarsh Subbaswamy Suchi Saria	4
+ PDF Chat	Fair regression for health care spending	2019	Anna Zink Sherri Rose	4
+	Why Is My Classifier Discriminatory?	2018	Irene A. Chen Fredrik Johansson David Sontag	4
+	An Empirical Study of Rich Subgroup Fairness for Machine Learning	2019	Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu	4
+ PDF Chat	Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning	2019	Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott	3
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	3
+	A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference	2018	Adina Williams Nikita Nangia Samuel Bowman	3
+	Invariant Causal Prediction for Nonlinear Models	2018	Christina Heinze‐Deml Jonas Peters Nicolai Meinshausen	3
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	3
+	Learning to Diagnose with LSTM Recurrent Neural Networks	2015	Zachary C. Lipton David C. Kale Charles Elkan Randall Wetzell	3
+	Unsupervised Data Augmentation for Consistency Training	2019	Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong Quoc V. Le	3
+	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units	2017	Niranjani Prasad Li Cheng Corey Chivers Michael Draugelis Barbara E. Engelhardt	3
+ PDF Chat	Improving Neural Machine Translation Models with Monolingual Data	2016	Rico Sennrich Barry Haddow Alexandra Birch	3
+	Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport	2018	Adarsh Subbaswamy Peter Schulam Suchi Saria	3