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Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks.

, , , , , , , , , , и . BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 228-240. Springer, (2020)

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F2: VLSI power-management techniques: Principles and applications., , , , , и . ISSCC, стр. 502-503. IEEE, (2013)Ultra-low voltage VLSIs for energy efficient systems., , , , и . ISSCC, стр. 514-515. IEEE, (2011)Design of a 50-Gb/s Hybrid Integrated Si-Photonic Optical Link in 16-nm FinFET., , , , , , , , , и 1 other автор(ы). IEEE J. Solid State Circuits, 55 (4): 1086-1095 (2020)Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks., , , , , , , , , и 1 other автор(ы). BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 228-240. Springer, (2020)Opportunities and Challenges for Deep Learning in Brain Lesions., , , , и . BrainLes@MICCAI (1), том 12962 из Lecture Notes in Computer Science, стр. 25-36. Springer, (2021)A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging., , , , , , , , , и 10 other автор(ы). MLHC, том 219 из Proceedings of Machine Learning Research, стр. 565-587. PMLR, (2023)A 0.9pj/b 9.8-113Gb/s XSR SerDes with 6-tap TX FFE and AC coupling RX in 3nm FinFet Technology., , , , , , , , , и 15 other автор(ы). VLSI Technology and Circuits, стр. 1-2. IEEE, (2024)Is this good enough? On expert perception of brain tumor segmentation quality., , , , , , , , , и 6 other автор(ы). Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)Session 3 overview: Ultra-high-speed wireline transceivers and energy-efficient links: Wireline subcommittee., и . ISSCC, стр. 50-51. IEEE, (2015)3.3 A 0.5-to-32.75Gb/s flexible-reach wireline transceiver in 20nm CMOS., , , , , , , , , и 6 other автор(ы). ISSCC, стр. 1-3. IEEE, (2015)