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2020 – today
- 2024
[c13]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: 12902-12915- [c12]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:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". BioNLP@ACL 2024: 85-98 - [i11]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 abs/2401.12208 (2024) - [i10]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 abs/2405.03595 (2024) - [i9]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 abs/2405.19538 (2024) - [i8]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 abs/2406.06512 (2024) - [i7]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:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". CoRR abs/2409.16603 (2024) - 2023
- [c11]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: 469-484 - [c10]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: 478-482 - [c9]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: 22168-22178 - [i6]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 abs/2308.11194 (2023) - 2022
- [c8]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. 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: 23-34 - [c7]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 - [i5]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 abs/2203.14960 (2022) - [i4]Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz:
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR abs/2211.08584 (2022) - 2021
- [j6]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): 20 (2021) - [j5]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): 27 (2021) - [j4]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) - [j3]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): 509 (2021) - [c6]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: 4566-4575 - [c5]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 - [i3]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 abs/2110.08228 (2021) - 2020
- [j2]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): 356 (2020) - [c4]Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. W-NUT@EMNLP 2020: 22-27 - [c3]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 N. Schwartz, Nick Haber, Dennis P. Wall:
Feature Selection and Dimension Reduction of Social Autism Data. PSB 2020: 707-718 - [i2]Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. CoRR abs/2011.04883 (2020) - [i1]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 abs/2012.08678 (2020)
2010 – 2019
- 2019
- [j1]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): 578-583 (2019) - [c2]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: 260-271 - 2018
- [c1]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: 1470-1477
Coauthor Index
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