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Julián N. Acosta

Affiliations:
  • Harvard Medical School, Department of Biomedical Informatics, Boston, MA, USA


According to our database1, Julián N. Acosta authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding.
[BibTeX]
[DOI]
Oishi Banerjee
,
Sung Eun Kim
,
Alexandra N. Willauer
,
Julius M. Kernbach
,
Abeer Rihan Alomaish
,
Reema Abdulwahab S. Alghamdi
,
Hassan Rayhan AlOmaish
,
Mohammed Baharoon
,
Xiaoman Zhang
,
Julián Nicolás Acosta
,
Christine Zhou
,
Pranav Rajpurkar
CoRR, March, 2026

2025
Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.
[BibTeX]
[DOI]
Julián N. Acosta
,
Scott J. Adams
,
Julius M. Kernbach
,
Romain Hardy
,
Sung Eun Kim
,
Luyang Luo
,
Xiaoman Zhang
,
Shreya Johri
,
Mohammed Baharoon
,
Pranav Rajpurkar
CoRR, July, 2025

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.
[BibTeX]
[DOI]
Xiaoman Zhang
,
Julián N. Acosta
,
Josh Miller
,
Ouwen Huang
,
Pranav Rajpurkar
CoRR, May, 2025

How generative AI voice agents will transform medicine.
[BibTeX]
[DOI]
Scott J. Adams
,
Julián N. Acosta
,
Pranav Rajpurkar
npj Digit. Medicine, 2025

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.
[BibTeX]
[DOI]
Xiaoman Zhang
,
Julián Nicolás Acosta
,
Hong-Yu Zhou
,
Pranav Rajpurkar
Proceedings of the Conference on Health, 2025

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation.
[BibTeX]
[DOI]
Julián Nicolás Acosta
,
Xiaoman Zhang
,
Siddhant Dogra
,
Hong-Yu Zhou
,
Seyedmehdi Payabvash
,
Guido J. Falcone
,
Eric Karl Oermann
,
Pranav Rajpurkar
Proceedings of the Conference on Health, 2025

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.
[BibTeX]
[DOI]
Xiaoman Zhang
,
Hong-Yu Zhou
,
Xiaoli Yang
,
Oishi Banerjee
,
Julián N. Acosta
,
Josh Miller
,
Ouwen Huang
,
Pranav Rajpurkar
Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

RadRevise: A Benchmark Dataset for Instruction-Based Radiology Report Editing.
[BibTeX]
[DOI]
Yixuan Huang
,
Julián Nicolás Acosta
,
Pranav Rajpurkar
Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024
a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions.
[BibTeX]
[DOI]
Pranav Rajpurkar
,
Julián N. Acosta
,
Siddhant Dogra
,
Jaehwan Jeong
,
Deepanshu Jindal
,
Michael Moritz
,
Samir Rajpurkar
CoRR, 2024

The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports.
[BibTeX]
[DOI]
Julián N. Acosta
,
Siddhant Dogra
,
Subathra Adithan
,
Kay Wu
,
Michael Moritz
,
Stephen Kwak
,
Pranav Rajpurkar
CoRR, 2024

ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports.
[BibTeX]
[DOI]
Vishwanatha M. Rao
,
Serena Zhang
,
Julián N. Acosta
,
Subathra Adithan
,
Pranav Rajpurkar
CoRR, 2024

A Generalist Learner for Multifaceted Medical Image Interpretation.
[BibTeX]
[DOI]
Hong-Yu Zhou
,
Subathra Adithan
,
Julián Nicolás Acosta
,
Eric J. Topol
,
Pranav Rajpurkar
CoRR, 2024

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models.
[BibTeX]
[DOI]
Serena Zhang
,
Sraavya Sambara
,
Oishi Banerjee
,
Julián N. Acosta
,
L. John Fahrner
,
Pranav Rajpurkar
Proceedings of the Machine Learning for Health, 2024


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