
Last Updated: 09/26/2026
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Found 74 publications
Atezolizumab in Combination With Carboplatin and Survival Outcomes in Patients With Metastatic Triple-Negative Breast Cancer: The TBCRC 043 Phase 2 Randomized Clinical Trial.
Journal: JAMA oncology
Published: December 14, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.
Journal: European radiology
Published: November 29, 2022
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Journal: Medical image analysis
Published: September 29, 2022
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117].
Journal: Computers in biology and medicine
Published: December 07, 2021
RAP-NET: COARSE-TO-FINE MULTI-ORGAN SEGMENTATION WITH SINGLE RANDOM ANATOMICAL PRIOR.
Journal: Proceedings. IEEE International Symposium on Biomedical Imaging
Published: October 20, 2021
Quantitative Comparison of Prone and Supine PERCIST Measurements in Breast Cancer.
Journal: Tomography (Ann Arbor, Mich.)
Published: June 18, 2020
High-resolution 3D abdominal segmentation with random patch network fusion.
Journal: Medical image analysis
Published: March 20, 2020
Contrast Phase Classification with a Generative Adversarial Network.
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Published: February 01, 2020
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision.
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Published: January 01, 2020
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives.
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Published: January 01, 2020
Outlier Guided Optimization of Abdominal Segmentation.
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Published: January 01, 2020
Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Published: November 26, 2019
Last Updated: 09/26/2026