Maya Varma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Autism Spectrum Disorder

Biomedical Text

Named Entity Disambiguation

Machine Learning

Top Venues

Publications

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR (2024)
Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael E. Moseley, Curtis P. Langlotz, Akshay S. Chaudhari, Jean-Benoit Delbrouck
GREEN: Generative Radiology Report Evaluation and Error Notation. CoRR (2024)
Jean-Benoit Delbrouck, Pierre J. Chambon, Zhihong Chen, Maya Varma, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Tan Bui, Steven Quoc Hung Truong, Curtis P. Langlotz
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. ACL (Findings) (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR (2024)
Pierre J. Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven QH Truong, Chu The Chuong, Curtis P. Langlotz
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. CoRR (2024)
Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. ACL (2) (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. ICCV (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. CoRR (2023)
Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. BioNLP@ACL (2023)
Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) (2022)
Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR (2022)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) (2021)
Peter Washington, Émilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Sierra Chrisman, Min Woo Sun, Nate Tyler Stockham, Kelley Marie Paskov, Haik Kalantarian, Catalin Voss, Nick Haber, Dennis P. Wall
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PSB (2021)
Brianna Sierra Chrisman, Kelley M. Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Maya Varma, Peter Washington, Christine A. Tataru, Shoko Iwai, Todd Z. DeSantis, Maude M. David, Dennis P. Wall
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinform. 22 (1) (2021)
Kelley M. Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Washington, Maya Varma, Min Woo Sun, Dennis P. Wall
Estimating sequencing error rates using families. BioData Min. 14 (1) (2021)
Brianna Sierra Chrisman, Kelley M. Paskov, Nate Tyler Stockham, Kevin Tabatabaei, Jae-Yoon Jung, Peter Washington, Maya Varma, Min Woo Sun, Sepideh Maleki, Dennis P. Wall
Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Min. 14 (1) (2021)
Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR (2021)
Maya Varma, Kelley M. Paskov, Brianna Sierra Chrisman, Min Woo Sun, Jae-Yoon Jung, Nate Tyler Stockham, Peter Washington, Dennis P. Wall
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. BioData Min. 14 (1) (2021)
Min Woo Sun, Stefano Moretti, Kelley M. Paskov, Nate Tyler Stockham, Maya Varma, Brianna Sierra Chrisman, Peter Yigitcan Washington, Jae-Yoon Jung, Dennis P. Wall
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. BMC Bioinform. 21 (1) (2020)
Peter Washington, Kelley Marie Paskov, Haik Kalantarian, Nate Tyler Stockham, Catalin Voss, Aaron Kline, Ritik Patnaik, Brianna Sierra Chrisman, Maya Varma, Qandeel Tariq, Kaitlyn Dunlap, Jessey Schwartz, Nick Haber, Dennis P. Wall
Feature Selection and Dimension Reduction of Social Autism Data. PSB (2020)
Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. CoRR (2020)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. W-NUT@EMNLP (2020)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. CoRR (2020)
Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1 (12) (2019)
Maya Varma, Kelley Marie Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Yigitcan Washington, Dennis Paul Wall
Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. PSB (2019)
Brianna Sierra Chrisman, Maya Varma, Peter Washington, Kelley M. Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Dennis P. Wall
Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. BIBM (2018)