Langlotz, Curtis

16 publications

MIDL 2025 Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-Ray Populations Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner, Bin Yang, Noel C Codella, Matthew P. Lungren, Curtis Langlotz, Sergios Gatidis

ICML 2025 LieRE: Lie Rotational Positional Encodings Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael Moseley, Akshay S Chaudhari, Curtis Langlotz

AISTATS 2025 MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion Asfandyar Azhar, Paul Thielen, Curtis Langlotz

MIDL 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 Joseph Marcel Chambon, Christian Bluethgen, Jip Prince, Curtis Langlotz, Akshay S Chaudhari

NeurIPS 2025 STARC-9: A Large-Scale Dataset for Multi-Class Tissue Classification for CRC Histopathology Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis Langlotz, Andrew Y. Ng, Jeanne Shen

NeurIPS 2025 TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay S Chaudhari, Curtis Langlotz

ICLR 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 Langlotz, Nigam Shah

MIDL 2024 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, Jeya Maria Jose Valanarasu

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

NeurIPS 2023 A Case for Reframing Automated Medical Image Classification as Segmentation Sarah Hooper, Mayee Chen, Khaled Saab, Kush Bhatia, Curtis Langlotz, Christopher Ré

ICMLW 2023 Diagnostically Lossless Compression of Medical Images Rogier Van der Sluijs, Maya Varma, Jip Prince, Curtis Langlotz, Akshay S Chaudhari

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

NeurIPS 2023 RaLEs: A Benchmark for Radiology Language Evaluations Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel Rubin, Andreas Loening, Curtis Langlotz, Akshay Chaudhari

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

NeurIPSW 2022 Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre Joseph Marcel Chambon, Christian Bluethgen, Curtis Langlotz, Akshay Chaudhari

ICLR 2021 Cut Out the Annotator, Keep the Cutout: Better Segmentation with Weak Supervision Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re