Curtis P. Langlotz
Stanford University
H-index: 66
North America-United States
Top articles of Curtis P. Langlotz
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Adapted large language models can outperform medical experts in clinical text summarization | Nature Medicine | Dave Van Veen Cara Van Uden Louis Blankemeier Jean-Benoit Delbrouck Asad Aali | 2024/2/27 |
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation | arXiv preprint arXiv:2401.12208 | Zhihong Chen Maya Varma Jean-Benoit Delbrouck Magdalini Paschali Louis Blankemeier | 2024/1/22 |
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms | Advances in Neural Information Processing Systems | Shih-Cheng Huang Zepeng Huo Ethan Steinberg Chia-Chun Chiang Curtis Langlotz | 2024/2/13 |
Lung Texture Analysis Predicts Clinical Progression in a Cohort of Patients With Dermatomyositis and Scleroderma-related Interstitial Lung Disease | N Simha MV Maddali M Attias C Bluethgen C Langlotz | 2024/5 | |
EchoGPT: A Large Language Model for Echocardiography Report Summarization | medRxiv | Chieh-Ju Chao Imon Banerjee Reza Arsanjani Chadi Ayoub Andrew Tseng | 2024 |
A case for reframing automated medical image classification as segmentation | Advances in Neural Information Processing Systems | Sarah Hooper Mayee Chen Khaled Saab Kush Bhatia Curtis Langlotz | 2024/2/13 |
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation | Tanvi Deshpande Eva Prakash Elsie Gyang Ross Curtis Langlotz Andrew Y Ng | 2024/2/13 | |
A Note of Thanks | Clinical Imaging | Koichiro Abe Shefali Agrawal Sinan Akay Mustafa Akcam Hassan Al-Balas | 2013 |
Almanac—retrieval-augmented language models for clinical medicine | NEJM AI | Cyril Zakka Rohan Shad Akash Chaurasia Alex R Dalal Jennifer L Kim | 2024/1/25 |
Unlocking Robust Segmentation Across All Age Groups via Continual Learning | arXiv preprint arXiv:2404.13185 | Chih-Ying Liu Jeya Maria Jose Valanarasu Camila Gonzalez Curtis Langlotz Andrew Ng | 2024/4/19 |
Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care | Warren B Gefter Mathias Prokop Joon Beom Seo Suhail Raoof Curtis P Langlotz | 2024/1/23 | |
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging | arXiv preprint arXiv:2403.08002 | Juan Manuel Zambrano Chaves Shih-Cheng Huang Yanbo Xu Hanwen Xu Naoto Usuyama | 2024/3/12 |
Exploring image augmentations for siamese representation learning with chest x-rays | Rogier Van der Sluijs Nandita Bhaskhar Daniel Rubin Curtis Langlotz Akshay S Chaudhari | 2024/1/23 | |
External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT | European Radiology | Krit Dwivedi Michael Sharkey Samer Alabed Curtis P Langlotz Andy J Swift | 2023/9/29 |
Perceptions of data set experts on important characteristics of health data sets ready for machine learning: a qualitative study | JAMA Network Open | Madelena Y Ng Alaa Youssef Adam S Miner Daniela Sarellano Jin Long | 2023/12/1 |
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data | Maya Varma Jean-Benoit Delbrouck Sarah Hooper Akshay Chaudhari Curtis Langlotz | 2023 | |
Truth and Transformation: RSNA's Journey Toward Equity | Curtis P Langlotz Matthew A Mauro Umar Mahmood Jeffrey S Klein Carolyn C Meltzer | 2023/3/2 | |
Overview of the RadSum23 shared task on multi-modal and multi-anatomical radiology report summarization | Jean-Benoit Delbrouck Maya Varma Pierre Chambon Curtis Langlotz | 2023/7 | |
CheXED artificial intelligence to detect radiographic pneumonia in urgent care clinic patients. | Nathan Dean James Hart Kathryn Kuttler Cara Van Uden Curtis Langlotz | 2023/9/9 | |
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis | arXiv preprint arXiv:2311.10798 | Shih-Cheng Huang Zepeng Huo Ethan Steinberg Chia-Chun Chiang Matthew P Lungren | 2023/11/17 |
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