The Advanced X-ray Imaging Satellite (AXIS) Community Science Book
Michael Koss, Nafisa Aftab, S. W. Allen, Roberta Amato et autres
3 citationsarXiv (Cornell University)
Daniel C. Castro
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60Publications signalées
2495Citations signalées
2Affiliations récentes
Institutions déclarées
Domaines associés
Topic ModelingExplainable Artificial Intelligence (XAI)Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationNatural Language Processing Techniques
Publications récentes
Insights into a radiology-specialised multimodal large language model with sparse autoencoders
Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel C. Castro et autres
0 citationsarXiv (Cornell University)
PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation
Daniel C. Castro, Aurelia Bustos, Shruthi Bannur, Kenza Bouzid et autres
18 citationsNEJM AI
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge et autres
8 citationsACM Transactions on Computer-Human Interaction
Exploring scalable medical image encoders beyond text supervision
Fernando Pérez‐García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid et autres
67 citationsNature Machine Intelligence
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid et autres
1 citationarXiv (Cornell University)
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro et autres
1 citationarXiv (Cornell University)
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
Ahmed Abdulaal, Nina Montaña-Brown, Ayodeji Ijishakin, Stephanie L. Hyland et autres
2 citationsarXiv (Cornell University)
MAIRA-2: Grounded Radiology Report Generation
Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Anton Schwaighofer et autres
16 citationsarXiv (Cornell University)
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa et autres
78 citations
Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel C. Castro et autres
28 citationsNature Communications
A causal perspective on dataset bias in machine learning for medical imaging
Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro, Ozan Oktay et autres
75 citationsNature Machine Intelligence
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