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ORCIDMedical Image Analysis, Volume 60
Volume 60, February 2020
- Rongchang Zhao, Shuo Li
:
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning. - Fabio Carrillo, Simon Roner, Marco von Atzigen, Andreas Schweizer, Ladislav Nagy, Lazaros Vlachopoulos, Jess Gerrit Snedeker, Philipp Fürnstahl:
An automatic genetic algorithm framework for the optimization of three-dimensional surgical plans of forearm corrective osteotomies. - Islem Mhiri, Islem Rekik:
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. - Wuhong Lin, Dongsheng Lv, Ziliang Han, Jianwei Dong, Lihua Yang:
Major depressive disorder identification by referenced multiset canonical correlation analysis with clinical scores. - Golnoosh Samei, Keith Tsang, Claudia Kesch, Julio Lobo, Soheil Hor, Omid Mohareri, Silvia D. Chang, S. Larry Goldenberg, Peter C. Black, Septimiu E. Salcudean:
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy. - Sarah E. Gerard, Jacob Herrmann, David W. Kaczka, Guido Musch, Ana Fernandez-Bustamante, Joseph M. Reinhardt:
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species. - Crystal A. Green, Mitchell M. Goodsitt, Marilyn A. Roubidoux, Kristy K. Brock, Cynthia L. Davis, Jasmine H. Lau, Paul L. Carson:
Deformable mapping using biomechanical models to relate corresponding lesions in digital breast tomosynthesis and automated breast ultrasound images. - Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. - Cian M. Scannell, Amedeo Chiribiri, Adriana D. M. Villa, Marcel Breeuwer, Jack Lee:
Hierarchical Bayesian myocardial perfusion quantification. - Mariana A. Nogueira, Mathieu De Craene, Sergio Sanchez-Martinez, Devyani Chowdhury, Bart H. Bijnens, Gemma Piella:
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction. - Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen:
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. - Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Tim Curran, Dietmar Cordes:
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory. - Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang:
Atrial scar quantification via multi-scale CNN in the graph-cuts framework. - Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian:
LinSEM: Linearizing segmentation evaluation metrics for medical images. - Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
A computational Framework for generating rotation invariant features and its application in diffusion MRI. - Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. - Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. - Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang:
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. - Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. - Zaruhi Alaverdyan, Julien Jung, Romain Bouet, Carole Lartizien:
Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening. - Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. - David Marlevi, Hojin Ha, Desmond Dillon-Murphy, João Filipe Fernandes, Daniel Fovargue, Massimiliano Colarieti-Tosti, Matilda Larsson, Pablo Lamata, C. Alberto Figueroa, Tino Ebbers, David A. Nordsletten:
Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy. - Lisa Corbat, Julien Henriet, Jean-Christophe Lapayre:
Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma. - Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori:
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation. - Matteo Dunnhofer, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, Gustavo Carneiro, Davide Fontanarosa:
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. - Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
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