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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration., , , and . IEEE Trans. Med. Imaging, 38 (2): 470-481 (2019)Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data., , , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 487-496. Springer, (2021)Med42-v2: A Suite of Clinical LLMs., , , , and . CoRR, (2024)Towards intraoperative surgical margin assessment and visualization using bioimpedance properties of the tissue., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94141C. SPIE, (2015)Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network., , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 66-73. Springer, (2019)Geometric correction of deformed chromosomes for automatic Karyotyping., , , and . EMBC, page 4438-4441. IEEE, (2012)Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches., , , , , , , , , and 6 other author(s). CoRR, (2024)Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs., , , , , , and . EMNLP (Findings), page 10549-10561. Association for Computational Linguistics, (2024)Data acquisition system for a 600cc formula SAE race car., and . ICVES, page 46-49. IEEE, (2009)Deep learning-based parameter estimation in fetal diffusion-weighted MRI., , , , , , and . NeuroImage, (2021)