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Parameter-Efficient Sparsity for Large Language Models Fine-Tuning., , , , , , and . IJCAI, page 4223-4229. ijcai.org, (2022)Learning tree-structured representation for 3D coronary artery segmentation., , , , , , , , and . Comput. Medical Imaging Graph., (2020)Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation., , , , , , , , and . ISBI, page 559-563. IEEE, (2018)RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns., , , , , , , , , and . ASPLOS (4), page 268-286. ACM, (2023)Globally optimal lung tumor co-segmentation of 4D CT and PET images., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86690W. SPIE, (2013)Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding., , , , , , , , , and . CoRR, (2019)PyTorch: An Imperative Style, High-Performance Deep Learning Library, , , , , , , , , and 11 other author(s). Advances in Neural Information Processing Systems 32, Curran Associates, Inc., (2019)Optimal multi-object segmentation with novel gradient vector flow based shape priors., , and . Comput. Medical Imaging Graph., (2018)Establishment and optimization of human skin charge modeling., , , , , and . IEEE ICCI*CC, page 444-449. IEEE Computer Society, (2017)Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT., , , and . ISBI, page 514-518. IEEE, (2018)