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Medical Image Analysis
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Volume 56, Pages 1-210 (August 2019)
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1. Editorial Board
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2. Fast predictive simple geodesic regression
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Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, ... Marc Niethammer.
3. Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
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Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, ... Alejandro F. Frangi.
4. Corrigendum to “Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge” [Medical Image Analysis, 54 (2019) 111--121]
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Mitko Veta.
5. Computational anatomy for multi-organ analysis in medical imaging: A review
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Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, ... Marius George Linguraru
6. GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
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T. Wollmann, M. Gunkel, I. Chung, H. Erfle, ... K. Rohr.
7. Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism
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Priya Aggarwal, Anubha Gupta.
8. Level set distribution model of nested structures using logarithmic transformation
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Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu.
9. Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
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Qiao Zheng, Hervé Delingette, Nicholas Ayache.
10. Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration
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Neel Dey, Sungmin Hong, Thomas Ach, Yiannis Koutalos, ... Guido Gerig.
11. Quantitative error prediction of medical image registration using regression forests
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Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P.F. Lelieveldt, Marius Staring.
12. BACH: Grand challenge on breast cancer histology images
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Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, ... Paulo Aguiar.
13. Convolutional sparse kernel network for unsupervised medical image analysis
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Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim.
14. Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation
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Grand Joldes, George Bourantas, Benjamin Zwick, Habib Chowdhury, ... Karol Miller.
15. Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
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Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge.
16. A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms
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Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, ... Nils D. Forkert.
