![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Medical Image Analysis, Volume 39
Volume 39, July 2017
- James Fishbaugh, Stanley Durrleman, Marcel Prastawa
, Guido Gerig
:
Geodesic shape regression with multiple geometries and sparse parameters. 1-17 - Kenichi Karasawa, Masahiro Oda
, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori
:
Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. 18-28 - John A. Onofrey
, Lawrence H. Staib
, Saradwata Sarkar, Rajesh Venkataraman, Cayce B. Nawaf, Preston C. Sprenkle, Xenophon Papademetris:
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. 29-43 - Rahil Shahzad, Qian Tao
, Oleh Dzyubachyk
, Marius Staring
, Boudewijn P. F. Lelieveldt
, Rob J. van der Geest
:
Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans. 44-55 - Andreas Nagler, Cristóbal Bertoglio
, Christian T. Stoeck
, Sebastian Kozerke
, Wolfgang A. Wall:
Maximum likelihood estimation of cardiac fiber bundle orientation from arbitrarily spaced diffusion weighted images. 56-77 - Li Kuo Tan, Yih Miin Liew
, Einly Lim, Robert A. McLaughlin
:
Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences. 78-86 - Lianghao Han
, Hua Dong
, Jamie R. McClelland
, Liangxiu Han
, David J. Hawkes, Dean C. Barratt:
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. 87-100 - Enzo Ferrante, Nikos Paragios:
Slice-to-volume medical image registration: A survey. 101-123 - Sila Kurugol
, Moti Freiman
, Onur Afacan
, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
:
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation. 124-132 - Lars Forsberg, Sigurdur Sigurdsson, Jesper Fredriksson, Asdis Egilsdottir, Bryndis Oskarsdottir, Olafur Kjartansson, Mark A. van Buchem
, Lenore J. Launer, Vilmundur Gudnason
, Alex P. Zijdenbos:
The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain. 133-144 - Hua Ma
, Ayla Hoogendoorn, Evelyn Regar, Wiro J. Niessen
, Theo van Walsum
:
Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions. 145-161 - Chantal M. W. Tax, Carl-Fredrik Westin, Tom C. J. Dela Haije, Andrea Fuster
, Max A. Viergever, Evan Calabrese, Luc Florack, Alexander Leemans
:
Quantifying the brain's sheet structure with normalized convolution. 162-177 - Gwenolé Quellec
, Katia Charrière, Yassine Boudi, Béatrice Cochener, Mathieu Lamard:
Deep image mining for diabetic retinopathy screening. 178-193 - Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh
:
A structured latent model for ovarian carcinoma subtyping from histopathology slides. 194-205 - Mohammad Saleh Miri, Michael D. Abràmoff
, Young H. Kwon
, Milan Sonka
, Mona Kathryn Garvin:
A machine-learning graph-based approach for 3D segmentation of Bruch's membrane opening from glaucomatous SD-OCT volumes. 206-217 - Zhengxia Wang, Xiaofeng Zhu
, Ehsan Adeli
, Yingying Zhu, Feiping Nie
, Brent C. Munsell, Guorong Wu:
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. 218-230
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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.