Abhijeet Parida

Julia Ive

CoRR, May, 2026

End-to-End Spatiotemporal Analysis of Color Doppler Echocardiograms: Application for Rheumatic Heart Disease Detection.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, March, 2026

Standardized Methods and Recommendations for Green Federated Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging.

[BibT_eX]

[DOI]

Antònia Alomar

Austin Tapp

Ziyue Xu

Holger R. Roth

CoRR, January, 2026

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis.

[BibT_eX]

[DOI]

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

2025

Improving Pre-trained Segmentation Models using Post-Processing.

[BibT_eX]

[DOI]

CoRR, December, 2025

Analyzing pediatric forearm X-rays for fracture analysis using machine learning.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., September, 2025

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases.

[BibT_eX]

[DOI]

Pengfei Guo

Artur Arturi Aharonyan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques.

[BibT_eX]

[DOI]

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Post-processing Methods for Improving Accuracy in MRI Inpainting.

[BibT_eX]

[DOI]

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models.

[BibT_eX]

[DOI]

Y. Thomas Hou

Wenjing Lou

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

2024

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data.

[BibT_eX]

[DOI]

CoRR, 2024

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Austin Tapp

Xinyang Liu

CoRR, 2024

Harvesting Private Medical Images in Federated Learning Systems with Crafted Models.

[BibT_eX]

[DOI]

Shanghao Shi

Md Shahedul Haque

Y. Thomas Hou

Wenjing Lou

CoRR, 2024

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.

[BibT_eX]

[DOI]

CoRR, 2024

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.

[BibT_eX]

[DOI]

Sara Atito

Muhammad Awais

CoRR, 2024

Tiny Lungs, Big Challenges: Pediatric and Premature Lung Segmentation using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images.

[BibT_eX]

[DOI]

Lubdha M. Shah

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.

[BibT_eX]

[DOI]

Antònia Alomar

Austin Tapp

Ziyue Xu

Syed Muhammed Anwar

Holger R. Roth

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions.

[BibT_eX]

[DOI]

Proceedings of the Foundation Models for General Medical AI, 2024

MR to CT Synthesis Using 3d Latent Diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Quantitative Metrics for Benchmarking Medical Image Harmonization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.

[BibT_eX]

[DOI]

Xinyang Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.

[BibT_eX]

[DOI]

Juan J. Gómez-Valverde

Ramon Sánchez-Jacob

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI.

[BibT_eX]

[DOI]

CoRR, 2023

Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays.

[BibT_eX]

[DOI]