default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMedical 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-04-11 18:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
