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Medical Image Analysis, Volume 65
Volume 65, October 2020
- Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv:
Subsampled brain MRI reconstruction by generative adversarial neural networks. 101747 - Juan E. Ortuño, Gonzalo Vegas-Sánchez-Ferrero, Juan J. Gomez-Valverde, Marcus Y. Chen, Andrés Santos, Elliot R. McVeigh, María J. Ledesma-Carbayo:
Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts. 101748 - Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
R-fMRI reconstruction from k-t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization. 101752 - Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang:
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. 101755 - Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Local rotation invariance in 3D CNNs. 101756 - Shivam Kalra, Hamid R. Tizhoosh, Charles Choi, Sultaan Shah, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. 101757 - Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans:
Automated characterization of noise distributions in diffusion MRI data. 101758 - Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour:
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. 101759 - Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Andreas Müller, Sascha E. A. Muenzing, Markus Axer, Rachid Deriche:
Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging. 101760 - Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. 101761 - Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation. 101762 - Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. 101763 - Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou:
Deep learning based HEp-2 image classification: A comprehensive review. 101764 - Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. 101765 - Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. 101766 - Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Weakly supervised object detection with 2D and 3D regression neural networks. 101767 - Islem Mhiri, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Islem Rekik:
Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning. 101768 - Houssem-Eddine Gueziri, Carlo Santaguida, D. Louis Collins:
The state-of-the-art in ultrasound-guided spine interventions. 101769 - Long Zhou, Joshua D. Schaefferkoetter, Ivan W. K. Tham, Gang Huang, Jianhua Yan:
Supervised learning with cyclegan for low-dose FDG PET image denoising. 101770 - Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A deep learning framework for interactive segmentation of microscopic images. 101771 - Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Yuncui Gan, Jianyong Wang, Hongli Bai, Lei Zhang, Weimin Li, Zhang Yi:
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. 101772 - Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger:
Detection, segmentation, simulation and visualization of aortic dissections: A review. 101773 - Clara M. Tam, Dong Zhang, Bo Chen, Terry M. Peters, Shuo Li:
Holistic multitask regression network for multiapplication shape regression segmentation. 101783 - Yong Pi, Zhen Zhao, Yongzhao Xiang, Yuhao Li, Huawei Cai, Zhang Yi:
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks. 101784 - Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Time-distanced gates in long short-term memory networks. 101785 - Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han:
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. 101786 - Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. 101787 - Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy:
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. 101788 - Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang:
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. 101789 - Lisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick:
Integrating uncertainty in deep neural networks for MRI based stroke analysis. 101790 - Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang:
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. 101791 - Gabriel Bernardino, Oualid M. Benkarim, María Sanz-de la Garza, Susanna Prat-Gonzàlez, Álvaro Sepúlveda-Martínez, Fátima Crispi, Marta Sitges, Constantine Butakoff, Mathieu De Craene, Bart H. Bijnens, Miguel Ángel González Ballester:
Handling confounding variables in statistical shape analysis - application to cardiac remodelling. 101792 - Fei Liu, Dan Liu, Jie Tian, Xiaoyan Xie, Xin Yang, Kun Wang:
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences. 101793 - Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning. 101794 - Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang:
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. 101795
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