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Medical Image Analysis, Volume 55
Volume 55, July 2019
- Talha Qaiser
, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane
, David B. A. Epstein
, Nasir M. Rajpoot
:
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features. 1-14 - Marysia Winkels, Taco S. Cohen
:
Pulmonary nodule detection in CT scans with equivariant CNNs. 15-26 - Eldad Rubinstein, Moshe Salhov, Meital Nidam-Leshem, Valerie White, Shay Golan
, Jack Baniel, Hanna Bernstine
, David Groshar
, Amir Averbuch:
Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate. 27-40 - Hsuan-Ming Huang, Chieh Lin:
A kernel-based image denoising method for improving parametric image generation. 41-48 - Chuyang Ye, Xiuli Li, Jingnan Chen:
A deep network for tissue microstructure estimation using modified LSTM units. 49-64 - Caroline H. Roney
, Ali Pashaei, Marianna Meo
, Rémi Dubois, Patrick M. Boyle
, Natalia A. Trayanova
, Hubert Cochet
, Steven A. Niederer
, Edward J. Vigmond
:
Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes. 65-75 - Yongqin Zhang
, Pew-Thian Yap
, Geng Chen
, Weili Lin, Li Wang
, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. 76-87 - Yan Wang, Yuyin Zhou
, Wei Shen
, Seyoun Park, Elliot K. Fishman
, Alan L. Yuille
:
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. 88-102 - Shumao Pang, Zhihai Su
, Stephanie Leung, Ilanit Ben Nachum, Bo Chen, Qianjin Feng, Shuo Li
:
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization. 103-115 - Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl
, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng
, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. 116-135 - Ilkay Öksüz
, Bram Ruijsink
, Esther Puyol-Antón
, James R. Clough
, Gastão Cruz
, Aurélien Bustin
, Claudia Prieto
, René M. Botnar
, Daniel Rueckert
, Julia A. Schnabel
, Andrew P. King
:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. 136-147 - Ayushi Sinha
, Seth D. Billings, Austin Reiter, Xingtong Liu
, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
The deformable most-likely-point paradigm. 148-164 - Maosong Ran, Jinrong Hu, Yang Chen, Hu Chen, Huaiqiang Sun, Jiliu Zhou, Yi Zhang
:
Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network. 165-180 - Suyash P. Awate
, Saurabh Garg, Rohit Jena:
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. 181-196 - John Ashburner, Mikael Brudfors, Kevin Bronik
, Yaël Balbastre
:
An algorithm for learning shape and appearance models without annotations. 197-215 - Junjie Hu, Yuanyuan Chen, Zhang Yi
:
Automated segmentation of macular edema in OCT using deep neural networks. 216-227 - Jingru Yi
, Pengxiang Wu, Menglin Jiang
, Qiaoying Huang, Daniel J. Hoeppner, Dimitris N. Metaxas:
Attentive neural cell instance segmentation. 228-240
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