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ORCIDMedical Image Analysis, Volume 56
Volume 56, August 2019
- Atsushi Saito
, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu:
Level set distribution model of nested structures using logarithmic transformation. 1-10 - Priya Aggarwal, Anubha Gupta:
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. 11-25 - Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Milton Hoz de Vila, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. 26-42 - Mitko Veta:
Corrigendum to "Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge" [Medical Image Analysis, 54 (2019) 111-121]. 43 - Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, Marius George Linguraru:
Computational anatomy for multi-organ analysis in medical imaging: A review. 44-67 - Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr:
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation. 68-79 - Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. 80-95 - Neel Dey, Sungmin Hong, Thomas Ach, Yiannis Koutalos, Christine A. Curcio, R. Theodore Smith, Guido Gerig:
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration. 96-109 - Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring:
Quantitative error prediction of medical image registration using regression forests. 110-121 - Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese, Bahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Paulo Aguiar:
BACH: Grand challenge on breast cancer histology images. 122-139 - Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Convolutional sparse kernel network for unsupervised medical image analysis. 140-151 - Grand Roman Joldes, George C. Bourantas, Benjamin Zwick, Habibullah Amin Chowdhury, Adam Wittek, Sudip Agrawal, Konstantinos A. Mountris, Damon Hyde, Simon K. Warfield, Karol Miller:
Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation. 152-171 - Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge:
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. 172-183 - Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Thomas W. Okell, Nils D. Forkert:
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. 184-192 - Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast predictive simple geodesic regression. 193-209
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