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Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain., , , , , , , , , and 9 other author(s). MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 464-473. Springer, (2023)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 161-168. Springer, (2018)Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI., , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 476-483. Springer, (2018)Radiology-Llama2: Best-in-Class Large Language Model for Radiology., , , , , , , , , and 11 other author(s). CoRR, (2023)Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation., , , , and . CoRR, (2024)Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction., , , , , , and . IEEE Trans. Medical Imaging, 42 (1): 196-208 (2023)Automatic Segmentation of LV and RV in Cardiac MRI., , , , and . STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 161-169. Springer, (2017)Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification., , , , and . CoRR, (2022)MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation., , , , , , , , , and 3 other author(s). CoRR, (2023)Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images., , , , , , , and . Comput. Biol. Medicine, (2022)