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TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
29 January 2018
M. Heinrich
Maximilian Blendowski
Ozan Oktay
MedIm
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Papers citing
"TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions"
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Title
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
23
0
0
15 Feb 2024
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
15
200
0
15 Feb 2019
1