Juampablo Heras Rivera

According to our database, Juampablo Heras Rivera authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing.

Juampablo Heras Rivera, Daniel Low, Xavier Xiong, Jacob Ruzevick, Daniel D. Child, Wen-Wai Yim, Mehmet Kurt, Asma Ben Abacha

CoRR, March, 2026

DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI.

Agamdeep Chopra, Caitlin M. Neher, Tianyi Ren, Juampablo Heras Rivera, Mehmet Kurt

CoRR, February, 2026

BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features.

Juampablo Heras Rivera, Dickson T. Chen, Tianyi Ren, Daniel Low, Asma Ben Abacha, Alberto Santamaria-Pang, Mehmet Kurt

CoRR, February, 2026

Bias Mitigation for Brain Age Prediction via Age Delta Correlation Loss.

Tianyi Ren, Juampablo Heras Rivera, Agamdeep Chopra, Mehmet Kurt

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics.

Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Real-time nonlinear inversion of magnetic resonance elastography with operator learning.

Juampablo Heras Rivera, Caitlin M. Neher, Mehmet Kurt

CoRR, October, 2025

Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings.

Juampablo Heras Rivera, Hitender K. Oswal, Tianyi Ren, Yutong Pan, William Henry, Caitlin M. Neher, Mehmet Kurt

CoRR, August, 2025

How We Won the ISLES'24 Challenge by Preprocessing.

Tianyi Ren, Juampablo Heras Rivera, Hitender K. Oswal, Yutong Pan, William Henry, Sophie Walters, Mehmet Kurt

CoRR, May, 2025

Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation.

Tianyi Ren, Juampablo Heras Rivera, Hitender K. Oswal, Yutong Pan, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

2024

An Ensemble Approach for Brain Tumor Segmentation and Synthesis.

Juampablo Heras Rivera, Agamdeep Chopra, Tianyi Ren, Hitender K. Oswal, Yutong Pan, Zineb Sordo, Sophie Walters, William Henry, Hooman Mohammadi, Riley Olson, Fargol Rezayaraghi, Tyson Lam, Akshay Jaikanth, Pavan Kancharla, Jacob Ruzevick, Daniela Ushizima, Mehmet Kurt

CoRR, 2024

Re-DiffiNet: Modeling discrepancies loss in tumor segmentation using diffusion models.

Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt

CoRR, 2024

Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models.

Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Mehmet Kurt

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024