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Medical Image Analysis, Volume 58
Volume 58, December 2019
- Mengyu Dai
, Zhengwu Zhang, Anuj Srivastava
:
Discovering common change-point patterns in functional connectivity across subjects. - Zhifan Gao
, Sitong Wu, Zhi Liu, Jianwen Luo
, Heye Zhang, Mingming Gong, Shuo Li
:
Learning the implicit strain reconstruction in ultrasound elastography using privileged information. - Shen Zhao, Xi Wu, Bo Chen, Shuo Li
:
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network. - Leonid Kostrykin
, Christoph Schnörr, Karl Rohr:
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. - Liang Chen
, Paul Bentley
, Kensaku Mori
, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
:
Self-supervised learning for medical image analysis using image context restoration. - Darko Stern, Christian Payer, Martin Urschler
:
Automated age estimation from MRI volumes of the hand. - Sahar Ahmad
, Zhengwang Wu
, Gang Li, Li Wang
, Weili Lin, Pew-Thian Yap
, Dinggang Shen:
Surface-constrained volumetric registration for the early developing brain. - Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
:
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. - Xiahai Zhuang
, Lei Li
, Christian Payer
, Darko Stern
, Martin Urschler
, Mattias P. Heinrich
, Julien Oster
, Chunliang Wang, Örjan Smedby
, Cheng Bian
, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci
, Guanyu Yang, Chenchen Sun, Gaetan Galisot
, Jean-Yves Ramel
, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. - Zaneta Swiderska-Chadaj
, Hans Pinckaers
, Mart van Rijthoven, Maschenka Balkenhol
, Margarita Melnikova, Oscar Geessink
, Quirine Manson, Mark Sherman, António Polónia
, Jeremy Parry, Mustapha Abubakar, Geert Litjens
, Jeroen van der Laak
, Francesco Ciompi
:
Learning to detect lymphocytes in immunohistochemistry with deep learning. - David Tellez
, Geert Litjens
, Péter Bándi, Wouter Bulten
, John-Melle Bokhorst, Francesco Ciompi
, Jeroen van der Laak
:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. - Liansheng Wang, Qiuhao Xu, Stephanie Leung, Jonathan Chung, Bo Chen, Shuo Li
:
Accurate automated Cobb angles estimation using multi-view extrapolation net. - Shujun Wang
, Yaxi Zhu, Lequan Yu
, Hao Chen
, Huangjing Lin
, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. - Xin Yi
, Ekta Walia, Paul S. Babyn:
Generative adversarial network in medical imaging: A review. - Tianjiao Liu
, Qianqian Guo, Chunfeng Lian
, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen:
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. - Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs. - Zehui Lin, Shengli Li
, Dong Ni
, Yimei Liao, Huaxuan Wen, Jie Du, Siping Chen, Tianfu Wang, Baiying Lei:
Multi-task learning for quality assessment of fetal head ultrasound images. - Seung Yeon Shin
, Soochahn Lee
, Il Dong Yun
, Kyoung Mu Lee:
Deep vessel segmentation by learning graphical connectivity. - Nooshin Ghavami
, Yipeng Hu
, Eli Gibson
, Ester Bonmati, Mark Emberton, Caroline M. Moore
, Dean C. Barratt:
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration. - Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li
:
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks. - Ze Jin, Jayaram K. Udupa, Drew A. Torigian:
How many models/atlases are needed as priors for capturing anatomic population variations? - Simon Graham
, Quoc Dang Vu
, Shan E Ahmed Raza
, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak
, Nasir M. Rajpoot
:
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. - Gabriel Maicas, Andrew P. Bradley
, Jacinto C. Nascimento, Ian Reid
, Gustavo Carneiro
:
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. - Agisilaos Chartsias
, Thomas Joyce, Giorgos Papanastasiou
, Scott Semple, Michelle C. Williams, David E. Newby
, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangled representation learning in cardiac image analysis.
- Julia A. Schnabel
, Christos Davatzikos, Gabor Fichtinger, Alejandro F. Frangi
, Carlos Alberola-López:
Special issue on MICCAI 2018. - Jingfan Fan
, Xiaohuan Cao, Qian Wang
, Pew-Thian Yap
, Dinggang Shen:
Adversarial learning for mono- or multi-modal registration. - Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman
, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
:
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. - Pierre-Antoine Ganaye
, Michaël Sdika
, Bill Triggs, Hugues Benoit-Cattin:
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. - Jakob Wasserthal, Peter F. Neher
, Dusan Hirjak, Klaus H. Maier-Hein
:
Combined tract segmentation and orientation mapping for bundle-specific tractography.
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