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Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks., , , , , , , , , and 1 other author(s). BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 228-240. Springer, (2020)Opportunities and Challenges for Deep Learning in Brain Lesions., , , , and . BrainLes@MICCAI (1), volume 12962 of Lecture Notes in Computer Science, page 25-36. Springer, (2021)Ultra-low voltage VLSIs for energy efficient systems., , , , and . ISSCC, page 514-515. IEEE, (2011)F2: VLSI power-management techniques: Principles and applications., , , , , and . ISSCC, page 502-503. IEEE, (2013)Design of a 50-Gb/s Hybrid Integrated Si-Photonic Optical Link in 16-nm FinFET., , , , , , , , , and 1 other author(s). IEEE J. Solid State Circuits, 55 (4): 1086-1095 (2020)A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging., , , , , , , , , and 10 other author(s). MLHC, volume 219 of Proceedings of Machine Learning Research, page 565-587. PMLR, (2023)Is this good enough? On expert perception of brain tumor segmentation quality., , , , , , , , , and 6 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Session 3 overview: Ultra-high-speed wireline transceivers and energy-efficient links: Wireline subcommittee., and . ISSCC, page 50-51. IEEE, (2015)A wide common-mode fully-adaptive multi-standard 12.5Gb/s backplane transceiver in 28nm CMOS., , , , , , , , , and 6 other author(s). VLSIC, page 104-105. IEEE, (2012)3.3 A 0.5-to-32.75Gb/s flexible-reach wireline transceiver in 20nm CMOS., , , , , , , , , and 6 other author(s). ISSCC, page 1-3. IEEE, (2015)