Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. - Brianna Sierra Chrisman; Maya Varma; Peter Washington 001; Kelley M. Paskov; Nate Tyler Stockham; Jae-Yoon Jung; Dennis P. Wall (BIBM, 2018)

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. - Maya Varma; Kelley Marie Paskov; Jae-Yoon Jung; Brianna Sierra Chrisman; Nate Tyler Stockham; Peter Yigitcan Washington; Dennis Paul Wall (PSB, 2019)

Automated abnormality detection in lower extremity radiographs using deep learning. - Maya Varma; Mandy Lu; Rachel Gardner; Jared Dunnmon; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Christopher Beaulieu; Katie S. Shpanskaya; Li Fei-Fei 001; Matthew P. Lungren; Bhavik N. Patel (Nat. Mach. Intell., 2019)

Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. - Rachel Gardner; Maya Varma; Clare Zhu; Ranjay Krishna (W-NUT@EMNLP, 2020)

Feature Selection and Dimension Reduction of Social Autism Data. - Peter Washington 001; Kelley Marie Paskov; Haik Kalantarian; Nate Tyler Stockham; Catalin Voss; Aaron Kline; Ritik Patnaik; Brianna Sierra Chrisman; Maya Varma; Qandeel Tariq; Kaitlyn Dunlap; Jessey N. Schwartz; et al. (PSB, 2020)

Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. - Min Woo Sun; Stefano Moretti 001; Kelley M. Paskov; Nate Tyler Stockham; Maya Varma; Brianna Sierra Chrisman; Peter Yigitcan Washington; Jae-Yoon Jung; Dennis P. Wall (BMC Bioinform., 2020)

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. - Peter Washington 001; Haik Kalantarian; Jack Kent; Arman Husic; Aaron Kline; Émilie Leblanc; Cathy Hou; Cezmi Mutlu; Kaitlyn Dunlap; Yordan Penev; Maya Varma; Nate Tyler Stockham; et al. (CoRR, 2020)

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. - Maya Varma; Laurel J. Orr; Sen Wu 002; Megan Leszczynski; Xiao Ling; Christopher Ré (EMNLP (Findings), 2021)

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. - Peter Washington 001; 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; et al. (PSB, 2021)

Indels in SARS-CoV-2 occur at template-switching hotspots. - Brianna Sierra Chrisman; Kelley M. Paskov; Nate Tyler Stockham; Kevin Tabatabaei; Jae-Yoon Jung; Peter Washington 001; Maya Varma; Min Woo Sun; Sepideh Maleki; Dennis P. Wall (BioData Min., 2021)

Estimating sequencing error rates using families. - Kelley M. Paskov; Jae-Yoon Jung; Brianna Sierra Chrisman; Nate Tyler Stockham; Peter Washington 001; Maya Varma; Min Woo Sun; Dennis P. Wall (BioData Min., 2021)

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. - Maya Varma; Kelley M. Paskov; Brianna Sierra Chrisman; Min Woo Sun; Jae-Yoon Jung; Nate Tyler Stockham; Peter Washington 001; Dennis P. Wall (BioData Min., 2021)

Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. - Brianna Sierra Chrisman; Kelley M. Paskov; Nate Tyler Stockham; Jae-Yoon Jung; Maya Varma; Peter Washington 001; Christine A. Tataru; Shoko Iwai; Todd Z. DeSantis; Maude M. David; Dennis P. Wall (BMC Bioinform., 2021)

ViLMedic: a framework for research at the intersection of vision and language in medical AI. - Jean-Benoit Delbrouck; Khaled Saab 002; Maya Varma; Sabri Eyuboglu; Pierre J. Chambon; Jared Dunnmon; Juan Zambrano; Akshay Chaudhari; Curtis P. Langlotz (ACL (demo), 2022)

Domino: Discovering Systematic Errors with Cross-Modal Embeddings. - Sabri Eyuboglu; Maya Varma; Khaled Kamal Saab; Jean-Benoit Delbrouck; Christopher Lee-Messer; Jared Dunnmon; James Zou 001; Christopher Ré (ICLR, 2022)

Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. - Jean-Benoit Delbrouck; Maya Varma; Curtis P. Langlotz (CoRR, 2022)

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. - Zhihong Chen; Maya Varma; Xiang Wan; Curtis P. Langlotz; Jean-Benoit Delbrouck (ACL (2), 2023)

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. - Jean-Benoit Delbrouck; Maya Varma; Pierre J. Chambon; Curtis P. Langlotz (BioNLP@ACL, 2023)

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. - Maya Varma; Jean-Benoit Delbrouck; Sarah M. Hooper; Akshay Chaudhari; Curtis P. Langlotz (ICCV, 2023)

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. - 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 (ACL (Findings), 2024)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (BioNLP@ACL, 2024)

GREEN: Generative Radiology Report Evaluation and Error Notation. - Sophie Ostmeier; Justin Xu; Zhihong Chen; Maya Varma; Louis Blankemeier; Christian Bluethgen; Arne Edward Michalson; Michael E. Moseley; Curtis P. Langlotz; Akshay Chaudhari; Jean-Benoit Delbrouck (EMNLP (Findings), 2024)

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models. - Maya Varma; Jean-Benoit Delbrouck; Zhihong Chen; Akshay Chaudhari; Curtis P. Langlotz (NeurIPS, 2024)

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. - 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; et al. (CoRR, 2024)

CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. - Pierre J. Chambon; Jean-Benoit Delbrouck; Thomas Sounack; Shih-Cheng Huang; Zhihong Chen; Maya Varma; Steven Q. H. Truong; Chu The Chuong; Curtis P. Langlotz (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - 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; et al. (CoRR, 2024)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (CoRR, 2024)

Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (CoRR, 2024)

Foundation Models in Radiology: What, How, When, Why and Why Not. - Magdalini Paschali; Zhihong Chen; Louis Blankemeier; Maya Varma; Alaa Youssef; Christian Bluethgen; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (CoRR, 2024)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed S. Muneer; et al. (ACL (1), 2025)

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (ACL (1), 2025)

MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders. - Maya Varma; Ashwin Kumar; Rogier van der Sluijs; Sophie Ostmeier; Louis Blankemeier; Pierre J. Chambon; Christian Bluethgen; Jip Prince; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 2025)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed Muneer; et al. (CoRR, 2025)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. - Melanie Rieff; Maya Varma; Ossian Rabow; Subathra Adithan; Julie Kim; Ken Chang; Hannah Lee; Nidhi Rohatgi; Christian Bluethgen; Mohamed S. Muneer; Jean-Benoit Delbrouck; Michael Moor (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)