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Segmentation of Intracranial Arterial Calcification with Deeply
  Supervised Residual Dropout Networks

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks

4 June 2017
Gerda Bortsova
Gijs van Tulder
Florian Dubost
Tingying Peng
Nassir Navab
A. van der Lugt
D. Bos
Marleen de Bruijne
ArXivPDFHTML

Papers citing "Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks"

3 / 3 papers shown
Title
A Comprehensive Review on Deep Supervision: Theories and Applications
A Comprehensive Review on Deep Supervision: Theories and Applications
Renjie Li
Xinyi Wang
Guangtai Huang
Wenli Yang
Kaining Zhang
Xiaodong Gu
Son N. Tran
Saurabh Garg
Jane Elizabeth Alty
Quan-wei Bai
CLIP
13
11
0
06 Jul 2022
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration
  using UNetMSS with Self-Constructing Graph Latent
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent
S. Chatterjee
Himanshi Bajaj
Istiyak H. Siddiquee
N. Subbarayappa
Steve Simon
S. Shashidhar
Oliver Speck
A. Nürnberger
34
4
0
08 Mar 2022
DS6, Deformation-aware Semi-supervised Learning: Application to Small
  Vessel Segmentation with Noisy Training Data
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
S. Chatterjee
Kartik Prabhu
Mahantesh Pattadkal
Gerda Bortsova
Chompunuch Sarasaen
Florian Dubost
Hendrik Mattern
Marleen de Bruijne
Oliver Speck
Andreas Nürnberger
14
18
0
18 Jun 2020
1