Sophie Ostmeier

According to our database, Sophie Ostmeier authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography.

Eva Prakash, Yunhe Gao, Chong Wang, Justin Xu, Neal Prakash, Arne Edward Michalson, Seena Dehkharghani, Eun Kyoung Hong, Julie Bauml, Roger Boodoo, Jean-Benoit Delbrouck, Sophie Ostmeier, Curtis Langlotz

CoRR, May, 2026

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation.

Yabin Zhang, Chong Wang, Yunhe Gao, Jiaming Liu, Maya Varma, Justin Xu, Sophie Ostmeier, Jin Long, Sergios Gatidis, Seena Dehkharghani, Arne Edward Michalson, Eun Kyoung Hong, Christian Bluethgen, Haiwei Henry Guo, Alexander Victor Ortiz, Stephan Altmayer, Sandhya Bodapati, Joseph David Janizek, Ken Chang, Jean-Benoit Delbrouck, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, April, 2026

Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE).

Gustavo Chau Loo Kung, Mohammad H. Abbasi, Camila Blank, Juze Zhang, Alan Q. Wang, Sophie Ostmeier, Akshay Chaudhari, Kilian M. Pohl, Ehsan Adeli-Mosabbeb

CoRR, March, 2026

Clinician input steers frontier AI models toward both accurate and harmful decisions.

Ivan Lopez, Selin S. Everett, Bryan J. Bunning, April S. Liang, Dong-han Yao, Shivam Vedak, Kameron C. Black, Sophie Ostmeier, Stephen P. Ma, Emily Alsentzer, Jonathan H. Chen, Akshay S. Chaudhari, Eric Horvitz

CoRR, March, 2026

Attention Head Entropy of LLMs Predicts Answer Correctness.

Sophie Ostmeier, Brian Axelrod, Maya Varma, Asad Aali, Yabin Zhang, Magdalini Paschali, Sanmi Koyejo, Curtis Langlotz, Akshay Chaudhari

CoRR, February, 2026

2025

TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models.

Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay Chaudhari, Curtis Langlotz

CoRR, December, 2025

From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis.

Clemence Mottez, Louisa Fay, Maya Varma, Sophie Ostmeier, Curtis P. Langlotz

CoRR, October, 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, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari

CoRR, July, 2025

MIRIAD: Augmenting LLMs with millions of medical query-response pairs.

Qinyue Zheng, Salman Abdullah, Sam Rawal, Cyril Zakka, Sophie Ostmeier, Maximilian Purk, Eduardo Pontes Reis, Eric J. Topol, Jure Leskovec, Michael Moor

CoRR, June, 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, Maya Varma, Curt Langlotz

CoRR, May, 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, February, 2025

LieRE: Lie Rotational Positional Encodings.

Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael E. Moseley, Akshay S. Chaudhari, Curtis Langlotz

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Structuring Radiology Reports: Challenging LLMs with Lightweight Models.

Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Sergios Gatidis, Tim C. Lueth, Curtis Langlotz, Jean-Benoit Delbrouck

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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 S. Muneer, Maya Varma, Curtis P. Langlotz

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

LieRE: Generalizing Rotary Position Encodings.

Sophie Ostmeier, Brian Axelrod, Michael E. Moseley, Akshay Chaudhari, 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, 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

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.

Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit

Medical Image Anal., December, 2023

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT.

Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit

CoRR, 2023

2022

Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists.

Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg

CoRR, 2022

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations.

Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit

CoRR, 2022