PhD Student
Stanford University
(* indicates equal contribution)
RaVL: Discovering and mitigating spurious correlations in fine-tuned vision-language models
M Varma, JB Delbrouck, Z Chen, A Chaudhari, C Langlotz
Conference on Neural Information Processing Systems (NeurIPS), 2024
GREEN: Generative radiology report evaluation and error notation
S Ostmeier, J Xu, Z Chen, M Varma, L Blankemeier, C Bluethgen, AE Michalson, M Moseley, C Langlotz, AS Chaudhari, JB Delbrouck
Findings of EMNLP, 2024
RadGraph-XL: A large-scale expert-annotated dataset for entity and relation extraction from radiology reports
JB Delbrouck, P Chambon, Z Chen, M Varma, A Johnston, L Blankemeier, DV Veen, T Bui, S Truong, C Langlotz
Findings of the Association for Computational Lingustics (ACL), 2024
ViLLA: Fine‑grained vision‑language representation learning from real‑world data
M Varma, JB Delbrouck, S Hooper, A Chaudhari, C Langlotz
International Conference on Computer Vision (ICCV), 2023
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
Z Chen*, M Varma*, X Wan, C Langlotz, JB Delbrouck*
Association for Computational Linguistics (ACL), 2023
Graph representations and algorithms in biomedicine
B Chrisman, M Varma, S Maleki, M Brbic, C Joslyn, M Zitnik
Pacific Symposium of Biocomputing, 2023
ViLMedic: A framework for research at the intersection of vision and language in medical AI
JB Delbrouck, K Saab, M Varma, S Eyuboglu, P Chambon, J Dunnmon, J Zambrano, A Chaudhari, C Langlotz
Association for Computational Linguistics (ACL), 2022
Improved digital therapy for developmental pediatrics using domain-specific artificial intelligence
P Washington, H Kalantarian, J Kent, A Husic, A Kline, E Leblanc, C Hou, OC Mutlu, K Dunlap, Y Penev, M Varma, NT Stockham, B Chrisman, K Paskov, MW Sun, JY Jung, C Voss, N Haber, DP Wall
JMIR Pediatrics and Parenting, 2022
Domino: Discovering systematic errors with cross-modal embeddings
S Eyuboglu*, M Varma*, K Saab*, JB Delbrouck, C Lee-Messer, J Dunnmon, J Zou, C Ré
International Conference on Learning Representations (ICLR), 2022
Oral Presentation (Top 1.5% of Submissions)
Identification of social engagement indicators associated with autism spectrum disorder using a game-based mobile app
M Varma, P Washington, B Chrisman, A Kline, E Leblanc, K Paskov, N Stockham, JY Jung, MW Sun, DP Wall
Journal of Medical Internet Research, 2022
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers
BS Chrisman, KM Paskov, N Stockham, JY Jung, M Varma, PY Washington, C Tataru, S Iwai, TZ DeSantis, M David, DP Wall
BMC Bioinformatics, 2021
Cross-domain data integration for named entity disambiguation in biomedical text
M Varma, L Orr, S Wu, M Leszczynski, X Ling, C Ré
Findings of EMNLP, 2021
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
M Varma, KM Paskov, BS Chrisman, MW Sun, JY Jung, NT Stockham, PY Washington, DP Wall
BMC BioData Mining, 2021
Estimating sequencing error rates using families
K Paskov, JY Jung, B Chrisman, NT Stockham, P Washington, M Varma, MW Sun, DP Wall
BMC BioData Mining, 2021
Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection
P Washington, Q Tariq, E Leblanc, B Chrisman, K Dunlap, A Kline, H Kalantarian, Y Penev, K Paskov, C Voss, N Stockham, M Varma, A Husic, J Kent, N Haber, T Winograd, DP Wall
Scientific Reports, 2021
Indels in SARS-CoV-2 occur at template-switching hotspots
BS Chrisman, K Paskov, NT Stockham, K Tabatabaei, JY Jung, P Washington, M Varma, MW Sun, S Maleki, DP Wall
BMC BioData Mining, 2021
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder
P Washington, E Leblanc, K Dunlap, Y Penev, M Varma, JY Jung, B Chrisman, MW Sun, N Stockham, KM Paskov, H Kalantarian, C Voss, N Haber, DP Wall
Pacific Symposium of Biocomputing, 2021
Feature replacement methods enable reliable home video analysis for machine learning detection of autism
E Leblanc, P Washington, M Varma, K Dunlap, Y Penev, A Kline, DP Wall
Scientific Reports, 2020
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value
MW Sun, S Moretti, KM Paskov, NT Stockham, M Varma, BS Chrisman, PY Washington, JY Jung, DP Wall
BMC Bioinformatics, 2020
Precision telemedicine through crowdsourced machine learning: testing variability of crowd workers for video-based autism feature recognition
P Washington, E Leblanc, K Dunlap, Y Penev, A Kline, K Paskov, MW Sun, B Chrisman, N Stockham, M Varma, C Voss, N Haber, DP Wall
Journal of Personalized Medicine, 2020
Feature selection and dimension reduction of social autism data
P Washington, KM Paskov, H Kalantarian, N Stockham, C Voss, A Kline, R Patnaik, B Chrisman, M Varma, Q Tariq, K Dunlap, J Schwartz, N Haber, DP Wall
Pacific Symposium of Biocomputing, 2020
Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry
P Washington, N Park, P Srivastava, C Voss, A Kline, M Varma, Q Tariq, H Kalantarian, J Schwartz, R Patnaik, N Haber, DP Wall
Biological Psychiatry, 2019
Automated abnormality detection in lower extremity radiographs using deep learning
M Varma, M Lu, R Gardner, J Dunnmon, N Khandwala, P Rajpurkar, J Long, C Beaulieu, K Shpanskaya, L Fei-Fei, MP Lungren, BN Patel.
Nature: Machine Intelligence, 2019
Coalitional game theory facilitates identification of non-coding variants associated with autism
MW Sun, A Gupta, M Varma, KM Paskov, JY Jung, NT Stockham, DP Wall
Biomedical Informatics Insights, 2019
Validity of online screening for autism: crowdsourcing study comparing paid and unpaid diagnostic tasks
P Washington, H Kalantarian, Q Tariq, J Schwartz, K Dunlap, B Chrisman, M Varma, M Ning, A Kline, N Stockham, K Paskov, C Voss, N Haber, DP Wall
Journal of Medical Internet Research, 2019
Outgroup machine learning approach identifies single nucleotide variants in noncoding DNA associated with Autism Spectrum Disorder
M Varma, KM Paskov, JY Jung, B Chrisman, NT Stockham, P Washington, DP Wall
Pacific Symposium on Biocomputing, 2019
Oral Presentation
Overview of the first shared task on clinical text generation: RRG24 and Discharge Me
J Xu, Z Chen, A Johnston, L Blankemeier, M Varma, J Hom, WJ Collins, A Modi, R Lloyd, B Hopkins, C Langlotz, JB Delbrouck
Workshop on Biomedical Natural Language Processing @ ACL, 2024
Oral Presentation
CheXagent: Towards a foundation model for chest x-ray interpretation
Z Chen*, M Varma*, JB Delbrouck*, M Paschali, L Blankemeier, DV Veen, JMJ Valanarasu, A Youssef, JP Cohen, EP Reis, E Tsai, A Johnston, C Olsen, TM Abraham, S Gatidis, AS Chaudhari, C Langlotz
AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024
Oral Presentation
Diagnostically lossless compression of medical images
R van der Sluijs*, M Varma*, J Prince, C Langlotz, A Chaudhari
Workshop on Neural Compression @ ICML, 2023
Overview of the RadSum23 shared task on multi‑modal and multi‑anatomical radiology report summarization
JB Delbrouck, M Varma, P Chambon, C Langlotz
Workshop on Biomedical Natural Language Processing @ ACL, 2023
Oral Presentation
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
JB Delbrouck, M Varma, C Langlotz
Extended Abstract, Machine Learning for Health (ML4H) Symposium, 2022
Determining question-answer plausibility in crowdsourced datasets using multi-task learning
R Gardner, M Varma, C Zhu, R Krishna
Workshop on Noisy User-generated Text (W-NUT) @ EMNLP, 2020