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ORCIDMedical Image Analysis, Volume 59
Volume 59, January 2020
- Rémi Agier, Sébastien Valette
, Razmig Kéchichian, Laurent Fanton, Rémy Prost:
Hubless keypoint-based 3D deformable groupwise registration.
- Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. - Salma Dhifallah, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative:
Estimation of connectional brain templates using selective multi-view network normalization. - Chenchu Xu, Joanne Howey, Pavlo Ohorodnyk, Mike Roth, Heye Zhang, Shuo Li:
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning. - Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & excite' guided few-shot segmentation of volumetric images. - Joon Sik Park, Eunji Lim, Seung-Hong Choi, Chul-Ho Sohn, Joonyeol Lee, Jaeseok Park:
Model-Based High-Definition Dynamic Contrast Enhanced MRI for Concurrent Estimation of Perfusion and Microvascular Permeability. - Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-task recurrent convolutional network with correlation loss for surgical video analysis. - Zhiwei Wang, Yi Lin, Kwang-Ting (Tim) Cheng, Xin Yang:
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization. - José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Girish Deshmukh, Jaemin Son, Woong Bae, Lihong Liu, Jianzong Wang, Xinhui Liu, Liangxin Gao, Tianbo Wu, Jing Xiao, Fengyan Wang, Baocai Yin, Yunzhi Wang, Gopichandh Danala, Linsheng He, Yoon Ho Choi, Fabrice Mériaudeau:
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. - David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens:
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. - Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation. - Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using deep learning. - Gongning Luo, Suyu Dong, Wei Wang, Kuanquan Wang, Shaodong Cao, Clara M. Tam, Henggui Zhang, Joanne Howey, Pavlo Ohorodnyk, Shuo Li:
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
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