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2020 – today
- 2026
[i9]Aashna P. Shah, Michelle M. Li, Yash Lal, Seffi Cohen, Liat F. Antwarg, Morgan Sanchez, James A. Diao, Chirag J. Patel, Ben Y. Reis, Ran D. Balicer, Noa Dagan, Arjun K. Manrai:
Learning Normal Representations for Blood Biomarkers. CoRR abs/2605.18701 (2026)- [i8]Kian R. Weihrauch, Thomas A. Buckley, William Lotter, Arjun K. Manrai:
How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology. CoRR abs/2606.12407 (2026) - 2025
- [i7]Thomas A. Buckley, Riccardo Conci, Peter G. Brodeur, Jason Gusdorf, Sourik Beltrán, Bita Behrouzi
, Byron Crowe, Jacob Dockterman, Muzzammil Muhammad, Sarah Ohnigian, Andrew Sanchez, James A. Diao, Aashna P. Shah, Daniel Restrepo, Eric S. Rosenberg, Andrew S. Lea, Marinka Zitnik, Scott H. Podolsky, Zahir Kanjee, Raja-Elie E. Abdulnour, Jacob M. Koshy, Adam Rodman, Arjun K. Manrai:
Advancing Medical Artificial Intelligence Using a Century of Cases. CoRR abs/2509.12194 (2025) - [i6]Thomas A. Buckley, Kian R. Weihrauch, Katherine Latham, Andrew Z. Zhou, Padmini A. Manrai, Arjun K. Manrai:
Navigating Gigapixel Pathology Images with Large Multimodal Models. CoRR abs/2511.19652 (2025) - 2024
- [i5]Peter G. Brodeur, Thomas A. Buckley, Zahir Kanjee, Ethan Goh, Evelyn Bin Ling, Priyank Jain, Stephanie Cabral, Raja-Elie Abdulnour, Adrian Haimovich, Jason A. Freed, Andrew Olson, Daniel J. Morgan, Jason Hom, Robert Gallo, Eric Horvitz, Jonathan H. Chen, Arjun K. Manrai, Adam Rodman:
Superhuman performance of a large language model on the reasoning tasks of a physician. CoRR abs/2412.10849 (2024) - 2023
- [j4]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [i4]Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai:
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR abs/2308.12453 (2023) - [i3]Thomas A. Buckley, James A. Diao, Adam Rodman, Arjun K. Manrai:
Accuracy of a Vision-Language Model on Challenging Medical Cases. CoRR abs/2311.05591 (2023) - 2022
- [i2]Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai:
Improving dermatology classifiers across populations using images generated by large diffusion models. CoRR abs/2211.13352 (2022) - 2021
- [j3]Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai, Isaac R. Rodriguez-Chavez, Nirav R. Shah:
Empowering clinical research in a decentralized world. npj Digit. Medicine 4 (2021) - [c6]Luke Melas-Kyriazi, Arjun K. Manrai:
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CVPR 2021: 12435-12445 - [c5]Kristin Passero, Shefali Setia Verma, Kimberly McAllister, Arjun K. Manrai, Chirag J. Patel, Molly A. Hall:
What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health. PSB 2021 - [i1]Luke Melas-Kyriazi, Arjun K. Manrai:
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CoRR abs/2105.08128 (2021) - 2020
- [j2]Inès Krissaane, Carlos De Niz, Alba Gutiérrez-Sacristán, Gabor Korodi, Nneka Ede, Ranjay Kumar, Jessica Lyons, Arjun K. Manrai, Chirag J. Patel, Isaac S. Kohane, Paul Avillach:
Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services. J. Am. Medical Informatics Assoc. 27(9): 1425-1430 (2020)
2010 – 2019
- 2017
- [c4]Konrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis:
Session Introduction. PSB 2017: 117-119 - 2016
- [c3]Arjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane:
Session Introduction. PSB 2016: 180-182 - [c2]Arjun K. Manrai, Brice L. Wang, Chirag J. Patel, Isaac S. Kohane:
Reproducible and Shareable Quantifications of Pathogenicity. PSB 2016: 231-242 - 2015
- [c1]Chirag J. Patel, Arjun K. Manrai:
Development of Exposome Correlations Globes to Map Out Environment-Wide Associations. Pacific Symposium on Biocomputing 2015: 231-242
2000 – 2009
- 2009
- [j1]Hyunjin Shin, Tao Liu, Arjun K. Manrai, Xiaole Shirley Liu:
CEAS: cis-regulatory element annotation system. Bioinform. 25(19): 2605-2606 (2009)
Coauthor Index
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