Andrew Beam - RankMe

21 papers A* 1Misc 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs. npj Digit. Medicine Yixuan Huang, Puneet Sharma, Anil Palepu, Nathaniel Greenbaum, Andrew Beam, Kristyn Beam
2024	J	`jnl`	Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data. CoRR Sophia M. Rein, Jing Li, Miguel Hernan, Andrew Beam
2024	J	`jnl`	Improved Generalizability in Medical Computer Vision: Hyperbolic Deep Learning in Multi-Modality Neuroimaging. J. Imaging Cyrus Ayubcha, Sulaiman Sajed, Chady Omara, Anna B. Veldman, Shashi B. Singh, Yashas Ullas Lokesha, Alex Liu, Mohammad Ali Aziz-Sultan, Timothy R. Smith, Andrew Beam
2024	—	`conf`	Labrador: Exploring the limits of masked language modeling for laboratory data. ML4H@NeurIPS David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam
2024	J	`jnl`	Large Language Models in Mental Health Care: a Scoping Review. CoRR Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam
2024	J	`jnl`	The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem. CoRR Joe B. Hakim, Jeffery L. Painter, Darmendra Ramcharran, Vijay Kara, Greg Powell, Paulina Sobczak, Chiho Sato, Andrew Bate, Andrew Beam
2023	—	`ed.`	Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. CHIL Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho
2023	J	`jnl`	Conformal Prediction with Large Language Models for Multi-Choice Question Answering. CoRR Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David R. Bellamy, Ramesh Raskar, Andrew Beam
2023	J	`jnl`	Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data. CoRR David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam
2023	—	`conf`	TIER: Text-Image Entropy Regularization for Medical CLIP-style models. MLHC Anil Palepu, Andrew Beam
2022	A*	`conf`	Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. NeurIPS Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam
2022	J	`jnl`	Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction. CoRR Bhawesh Kumar, Anil Palepu, Rudraksh Tuwani, Andrew Beam
2020	J	`jnl`	Coarse-to-Fine Memory Matching for Joint Retrieval and Classification. CoRR Allen Schmaltz, Andrew Beam
2020	J	`jnl`	Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. CoRR Benjamin Kompa, Jasper Snoek, Andrew Beam
2020	J	`jnl`	Exemplar Auditing for Multi-Label Biomedical Text Classification. CoRR Allen Schmaltz, Andrew Beam
2019	J	`jnl`	Automated grouping of medical codes via multiview banded spectral clustering. J. Biomed. Informatics Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert J. Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai
2019	J	`jnl`	Feature extraction for phenotyping from semantic and knowledge resources. J. Biomed. Informatics Wenxin Ning, Stephanie Chan, Andrew Beam, Ming Yu, Alon Geva, Katherine P. Liao, Mary Mullen, Kenneth D. Mandl, Isaac S. Kohane, Tianxi Cai, Sheng Yu
2019	Misc	`conf`	Learning to Estimate Nutrition Facts from Food Descriptions. AMIA Hadi Amiri, Andrew Beam, Isaac S. Kohane
2019	—	`conf`	Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett K. Beaulieu-Jones
2017	Misc	`conf`	Improving EHR Chart Review Efficiency via Semantic Similarity Assessment. AMIA Tianrun A. Cai, Andrew Beam, Stephanie Chan, Jacqueline Honerlaw, Yichi Zhang, David R. Gagnon, Kelly Cho, John Michael Gaziano, Katherine P. Liao, Tianxi Cai
2016	Misc	`conf`	The Spectrum of Insomnia-Associated Comorbidities in an Electronic Medical Records Cohort. AMIA Uri Kartoun, Andrew Beam, Jennifer Pai, Arnaub Chatterjee, Timothy P. Fitzgerald, Isaac S. Kohane, Stanley Y. Shaw