Adapting a Consultation System to Critique User Plans. - Curtis P. Langlotz; Edward H. Shortliffe (Int. J. Man Mach. Stud., 1983)

ONYX: An Architecture for Planning in Uncertain Environments. - Curtis P. Langlotz; Lawrence M. Fagan; Samson W. Tu; John Williams; Branimir Sikic (IJCAI, 1985)

A Framework for Comparing Alternative Formalisms for Plausible Reasoning. - Eric Horvitz; David Heckerman; Curtis P. Langlotz (AAAI, 1986)

Using Decision Theory to Justify Heuristics. - Curtis P. Langlotz; Edward H. Shortliffe; Lawrence M. Fagan (AAAI, 1986)

Logic and Decision-Theoretic Methods for Planning under Uncertainty. - Curtis P. Langlotz; Edward H. Shortliffe (AI Mag., 1989)

A methodology for the economic assessment of picture archiving and communication systems. - Curtis P. Langlotz; Orit Even-Shoshan; Sridhar S. Seshadri; Inna Brikman; Sheel Kishore; Harold L. Kundel; J. Sanford Schwartz (J. Digit. Imaging, 1995)

Enhancing the expressiveness and usability of structured image reporting systems. - Curtis P. Langlotz; L. Meininger (AMIA, 2000)

The Effect of PACS on the Time Required for Technologists to Produce Radiographic Images in the Emergency Department Radiology Suite. - Regina O. Redfern; Curtis P. Langlotz; Stephanie Abbuhl; M. Polansky; Steven C. Horii; Harold L. Kundel (J. Digit. Imaging, 2002)

Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS. - Paras Lakhani; Elliot D. Menschik; Alberto F. Goldszal; Joseph P. Murray; Mark G. Weiner; Curtis P. Langlotz (J. Digit. Imaging, 2006)

From the Chair: The Top 10 Myths About Imaging Informatics Certification (January 2008-SIIM News). - Curtis P. Langlotz (J. Digit. Imaging, 2008)

Improving language models for radiology speech recognition. - John M. Paulett; Curtis P. Langlotz (J. Biomed. Informatics, 2009)

Radiologist Use of and Perceived Need for Patient Data Access. - William W. Boonn; Curtis P. Langlotz (J. Digit. Imaging, 2009)

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. - Paras Lakhani; Curtis P. Langlotz (J. Digit. Imaging, 2010)

Extracting templates from radiology reports using sequence alignment. - Shengyang Wu; Curtis P. Langlotz; Paras Lakhani; Lyle H. Ungar (Int. J. Data Min. Bioinform., 2012)

Automated Detection of Critical Results in Radiology Reports. - Paras Lakhani; Woojin Kim; Curtis P. Langlotz (J. Digit. Imaging, 2012)

Conversion of Radiology Reporting Templates to the MRRT Standard. - Charles E. Kahn Jr.; Brad W. Genereaux; Curtis P. Langlotz (J. Digit. Imaging, 2015)

Information extraction from multi-institutional radiology reports. - Saeed Hassanpour; Curtis P. Langlotz (Artif. Intell. Medicine, 2016)

Health IT vendors and the academic community: The 2014 ACMI debate. - Alexa T. McCray; John P. Glaser; Ross Koppel; Curtis P. Langlotz; Jonathan C. Silverstein (J. Biomed. Informatics, 2016)

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. - Saeed Hassanpour; Curtis P. Langlotz (J. Digit. Imaging, 2016)

The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures. - Daniel J. Vreeman; Ken Wang; Chris Carr; Beverly Collins; Swapna Abhyankar; Jamalynne Deckard; Clement J. McDonald; Daniel L. Rubin; Curtis P. Langlotz (AMIA, 2017)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - Pranav Rajpurkar; Jeremy Irvin; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Yi Ding; Aarti Bagul; Curtis P. Langlotz; Katie S. Shpanskaya; Matthew P. Lungren; Andrew Y. Ng (CoRR, 2017)

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. - Pranav Rajpurkar; Jeremy Irvin; Aarti Bagul; Daisy Yi Ding; Tony Duan; Hershel Mehta; Brandon Yang; Kaylie Zhu; Dillon Laird; Robyn L. Ball; Curtis P. Langlotz; Katie S. Shpanskaya; et al. (CoRR, 2017)

Bone Tumor Diagnosis Using a Naïve Bayesian Model of Demographic and Radiographic Features. - Bao H. Do; Curtis P. Langlotz; Christopher F. Beaulieu (J. Digit. Imaging, 2017)

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. - Saeed Hassanpour; Graham Bay; Curtis P. Langlotz (J. Digit. Imaging, 2017)

Learning to Summarize Radiology Findings. - Yuhao Zhang 004; Daisy Yi Ding; Tianpei Qian; Christopher D. Manning; Curtis P. Langlotz (Louhi@EMNLP, 2018)

Expanding a radiology lexicon using contextual patterns in radiology reports. - Bethany Percha; Yuhao Zhang 004; Selen Bozkurt; Daniel L. Rubin; Russ B. Altman; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2018)

The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. - Daniel J. Vreeman; Swapna Abhyankar; Kenneth C. Wang; Chris Carr; Beverly Collins; Daniel L. Rubin; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2018)

Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. - Hannu T. Huhdanpaa; W. Katherine Tan; Sean D. Rundell; Pradeep Suri; Falgun H. Chokshi; Bryan A. Comstock; Patrick J. Heagerty; Kathryn T. James; Andrew L. Avins; Srdjan S. Nedeljkovic; David R. Nerenz; David F. Kallmes; et al. (J. Digit. Imaging, 2018)

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. - Imon Banerjee; Yuan Ling; Matthew C. Chen; Sadid A. Hasan; Curtis P. Langlotz; Nathaniel Moradzadeh; Brian E. Chapman; Timothy Amrhein; David A. Mong; Daniel L. Rubin; Oladimeji Farri; Matthew P. Lungren (Artif. Intell. Medicine, 2019)

Cross-type biomedical named entity recognition with deep multi-task learning. - Xuan Wang 008; Yu Zhang 044; Xiang Ren 001; Yuhao Zhang 004; Marinka Zitnik; Jingbo Shang; Curtis P. Langlotz; Jiawei Han 001 (Bioinform., 2019)

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. - Okyaz Eminaga; Mahmoud Abbas; Christian Kunder; Andreas M. Loening; Jeanne Shen; James D. Brooks; Curtis P. Langlotz; Daniel L. Rubin (CoRR, 2019)

Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. - Yuhao Zhang 004; Derek Merck; Emily Bao Tsai; Christopher D. Manning; Curtis P. Langlotz (ACL, 2020)

SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans. - Saeed Seyyedi; Margaret J. Wong; Debra M. Ikeda; Curtis P. Langlotz (CoRR, 2020)

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. - Yasuhide Miura; Yuhao Zhang 004; Curtis P. Langlotz; Dan Jurafsky (CoRR, 2020)

Video-based AI for beat-to-beat assessment of cardiac function. - David Ouyang; Bryan He; Amirata Ghorbani; Neal Yuan; Joseph Ebinger; Curtis P. Langlotz; Paul A. Heidenreich; Robert A. Harrington; David H. Liang; Euan A. Ashley; James Y. Zou (Nat., 2020)

The Project Baseline Health Study: a step towards a broader mission to map human health. - Kristine Arges; Themistocles L. Assimes; Vikram Bajaj; Suresh Balu; Mustafa R. Bashir; Laura Beskow; Rosalia Blanco; Robert M. Califf; Paul Campbell; Larry Carin; Victoria Christian; Scott Cousins; et al. (npj Digit. Medicine, 2020)

Impact of a deep learning assistant on the histopathologic classification of liver cancer. - Amirhossein Kiani; Bora Uyumazturk; Pranav Rajpurkar; Alex Wang; Rebecca Gao; Erik Jones; Yifan Yu 005; Curtis P. Langlotz; Robyn L. Ball; Thomas J. Montine; Brock A. Martin; Gerald J. Berry; et al. (npj Digit. Medicine, 2020)

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. - Asma Ben Abacha; Yassine Mrabet; Yuhao Zhang 004; Chaitanya Shivade; Curtis P. Langlotz; Dina Demner-Fushman (BioNLP@NAACL-HLT, 2021)

Cut out the annotator, keep the cutout: better segmentation with weak supervision. - Sarah M. Hooper; Michael Wornow; Ying Hang Seah; Peter Kellman; Hui Xue 006; Frederic Sala; Curtis P. Langlotz; Christopher Ré (ICLR, 2021)

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. - Yasuhide Miura; Yuhao Zhang 004; Emily Bao Tsai; Curtis P. Langlotz; Dan Jurafsky (NAACL-HLT, 2021)

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. - Saahil Jain; Ashwin Agrawal; Adriel Saporta; Steven Q. H. Truong; Du Nguyen Duong; Tan Bui; Pierre J. Chambon; Yuhao Zhang 004; Matthew P. Lungren; Andrew Y. Ng; Curtis P. Langlotz; Pranav Rajpurkar (NeurIPS Datasets and Benchmarks, 2021)

Predicting post-operative right ventricular failure using video-based deep learning. - Rohan Shad; Nicolas Quach; Robyn Fong; Patpilai Kasinpila; Cayley Bowles; Miguel Castro; Ashrith Guha; Eddie Suarez; Stefan Jovinge; Sangjin Lee; Theodore Boeve; Myriam Amsallem; et al. (CoRR, 2021)

Medical Imaging and Machine Learning. - Rohan Shad; John P. Cunningham; Euan A. Ashley; Curtis P. Langlotz; William Hiesinger (CoRR, 2021)

Simulating time to event prediction with spatiotemporal echocardiography deep learning. - Rohan Shad; Nicolas Quach; Robyn Fong; Patpilai Kasinpila; Cayley Bowles; Kate M. Callon; Michelle C. Li; Jeffrey J. Teuteberg; John P. Cunningham; Curtis P. Langlotz; William Hiesinger (CoRR, 2021)

Biomedical and clinical English model packages for the Stanza Python NLP library. - Yuhao Zhang 004; Yuhui Zhang; Peng Qi 003; Christopher D. Manning; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2021)

Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. - Rohan Shad; John P. Cunningham; Euan A. Ashley; Curtis P. Langlotz; William Hiesinger (Nat. Mach. Intell., 2021)

Automated coronary calcium scoring using deep learning with multicenter external validation. - David Eng; Christopher Chute; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Sam Shleifer; Mohamed H. Khalaf; Alexander T. Sandhu; Fátima Rodriguez; David J. Maron; Saeed Seyyedi; Daniele Marin; et al. (npj Digit. Medicine, 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)

Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. - Curtis P. Langlotz; Thomas Wang; Tina Hernandez-Boussard; Irene Dankwa-Mullan (AMIA, 2022)

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. - Jean-Benoit Delbrouck; Pierre J. Chambon; Christian Bluethgen; Emily Bao Tsai; Omar Almusa; Curtis P. Langlotz (EMNLP (Findings), 2022)

Contrastive Learning of Medical Visual Representations from Paired Images and Text. - Yuhao Zhang 004; Hang Jiang; Yasuhide Miura; Christopher D. Manning; Curtis P. Langlotz (MLHC, 2022)

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains. - Pierre J. Chambon; Christian Bluethgen; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 2022)

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

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. - Pierre J. Chambon; Christian Bluethgen; Jean-Benoit Delbrouck; Rogier van der Sluijs; Malgorzata Polacin; Juan Manuel Zambrano Chaves; Tanishq Mathew Abraham; Shivanshu Purohit; Curtis P. Langlotz; Akshay Chaudhari (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)

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. - Dave Van Veen; Cara Van Uden; Maayane Attias; Anuj Pareek; Christian Bluethgen; Malgorzata Polacin; Wah Chiu; Jean-Benoit Delbrouck; Juan Manuel Zambrano Chaves; Curtis P. Langlotz; Akshay Chaudhari; John M. Pauly (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)

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. - Rogier van der Sluijs; Nandita Bhaskhar; Daniel L. Rubin; Curtis P. Langlotz; Akshay S. Chaudhari (MIDL, 2023)

RaLEs: a Benchmark for Radiology Language Evaluations. - Juanma Zambrano Chaves; Nandita Bhaskhar; Maayane Attias; Jean-Benoit Delbrouck; Daniel L. Rubin; Andreas M. Loening; Curtis P. Langlotz; Akshay Chaudhari (NeurIPS, 2023)

A case for reframing automated medical image classification as segmentation. - Sarah M. Hooper; Mayee F. Chen; Khaled Saab 002; Kush Bhatia; Curtis P. Langlotz; Christopher Ré (NeurIPS, 2023)

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Curtis P. Langlotz; Matthew P. Lungren; Serena Yeung; Nigam Shah; Jason Alan Fries (NeurIPS, 2023)

How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems. - Cara Van Uden; Jeremy Irvin; Mars Huang; Nathan Dean; Jason Carr; Andrew Y. Ng; Curtis P. Langlotz (CoRR, 2023)

Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification. - Cara Van Uden; Christian Bluethgen; Maayane Attias; Malgorzata Polacin; Haiwei Henry Guo; Neha Simha; Rishi Raj; Curtis P. Langlotz (CoRR, 2023)

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. - Dave Van Veen; Cara Van Uden; Louis Blankemeier; Jean-Benoit Delbrouck; Asad Aali; Christian Bluethgen; Anuj Pareek; Malgorzata Polacin; William Collins; Neera Ahuja; Curtis P. Langlotz; Jason Hom; et al. (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Matthew P. Lungren; Curtis P. Langlotz; Serena Yeung; Nigam H. Shah; Jason A. Fries (CoRR, 2023)

A Generalizable Deep Learning System for Cardiac MRI. - Rohan Shad; Cyril Zakka; Dhamanpreet Kaur; Robyn Fong; Ross Warren Filice; John Mongan; Kimberly Kallianos; Nishith Khandwala; David Eng; Matthew Leipzig; Walter Witschey; Alejandro de Feria; et al. (CoRR, 2023)

Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. - Pierre J. Chambon; Christopher Wu; Jackson M. Steinkamp; Jason Adleberg; Tessa Sundaram Cook; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2023)

Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. - Pierre J. Chambon; Tessa Sundaram Cook; Curtis P. Langlotz (J. Digit. Imaging, 2023)

Evaluating progress in automatic chest X-ray radiology report generation. - Feiyang Yu; Mark Endo; Rayan Krishnan; Ian Pan; Andy Tsai; Eduardo Pontes Reis; Eduardo Kaiser Ururahy Nunes Fonseca; Henrique Min Ho Lee; Zahra Shakeri Hossein Abad; Andrew Y. Ng; Curtis P. Langlotz; Vasantha Kumar Venugopal; et al. (Patterns, 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)

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation. - Tanvi Deshpande; Eva Prakash; Elsie Gyang Ross; Curtis P. Langlotz; Andrew Y. Ng; Jeya Maria Jose Valanarasu (MIDL, 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)

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. - Juan Manuel Zambrano Chaves; Shih-Cheng Huang; Yanbo Xu; Hanwen Xu; Naoto Usuyama; Sheng Zhang 012; Fei Wang 060; Yujia Xie; Mahmoud Khademi; Ziyi Yang; Hany Hassan Awadalla; Julia Gong; et al. (CoRR, 2024)

Unlocking Robust Segmentation Across All Age Groups via Continual Learning. - Chih-Ying Liu; Jeya Maria Jose Valanarasu; Camila González; Curtis P. Langlotz; Andrew Y. Ng; Sergios Gatidis (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)

LieRE: Generalizing Rotary Position Encodings. - Sophie Ostmeier; Brian Axelrod; Michael E. Moseley; Akshay Chaudhari; Curtis P. Langlotz (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)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - Eva Prakash; Jeya Maria Jose Valanarasu; Zhihong Chen; Eduardo Pontes Reis; Andrew Johnston; Anuj Pareek; Christian Bluethgen; Sergios Gatidis; Cameron Olsen; Akshay Chaudhari; Andrew Y. Ng; Curtis P. Langlotz (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)

Best Practices for Large Language Models in Radiology. - Christian Bluethgen; Dave Van Veen; Cyril Zakka; Katherine Link; Aaron Fanous; Roxana Daneshjou; Thomas Frauenfelder; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (CoRR, 2024)

Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements. - Anish Salvi; Leo Arnal; Kevin Ly; Gabriel Ferreira; Sophia Y. Wang; Curtis P. Langlotz; Vinit Mahajan; Chase A. Ludwig (Frontiers Artif. Intell., 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)

MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion. - Asfandyar Azhar; Paul Thielen; Curtis P. Langlotz (AISTATS, 2025)

Time-to-Event Pretraining for 3D Medical Imaging. - Zepeng Frazier Huo; Jason Alan Fries; Alejandro Lozano; Jeya Maria Jose Valanarasu; Ethan Steinberg; Louis Blankemeier; Akshay S. Chaudhari; Curtis P. Langlotz; Nigam Shah (ICLR, 2025)

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - Chieh-Ju Chao; Yunqi Richard Gu; Wasan Kumar; Tiange Xiang; Lalith Appari; Justin Wu; Juan Maria Farina; Rachael Wraith; Jiwoong Jason Jeong; Reza Arsanjani; Garvan C. Kane; Jae K. Oh; et al. (npj Digit. Medicine, 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)

Structuring Radiology Reports: Challenging LLMs with Lightweight Models. - Johannes Moll; Louisa Fay; Asfandyar Azhar; Sophie Ostmeier; Tim Lueth; Sergios Gatidis; Curtis P. Langlotz; Jean-Benoit Delbrouck (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)