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Deep learning with 4D spatio-temporal data representations for OCT-based
  force estimation

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

20 May 2020
N. Gessert
M. Bengs
M. Schlüter
Alexander Schlaefer
ArXiv (abs)PDFHTML

Papers citing "Deep learning with 4D spatio-temporal data representations for OCT-based force estimation"

4 / 4 papers shown
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in
  Patients With Suspected Ischemic Stroke
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic StrokeIEEE Access (IEEE Access), 2023
Luca Tomasetti
K. Engan
Liv Jorunn Høllesli
K. D. Kurz
M. Khanmohammadi
312
5
0
15 Mar 2023
Working memory inspired hierarchical video decomposition with
  transformative representations
Working memory inspired hierarchical video decomposition with transformative representations
Binjie Qin
Haohao Mao
Ruipeng Zhang
Y. Zhu
Song Ding
Xu Chen
389
1
0
21 Apr 2022
Attention module improves both performance and interpretability of 4D
  fMRI decoding neural network
Attention module improves both performance and interpretability of 4D fMRI decoding neural network
Zhoufan Jiang
Yanming Wang
Chenwei Shi
Yueyang Wu
Rongjie Hu
Shishuo Chen
Sheng Hu
Xiaoxiao Wang
B. Qiu
185
2
0
03 Oct 2021
4D Spatio-Temporal Convolutional Networks for Object Position Estimation
  in OCT Volumes
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes
M. Bengs
N. Gessert
Alexander Schlaefer
3DPC
212
3
0
02 Jul 2020
1
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