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Publication search results
found 79 matches
- 2019
- Sharib Ali, Jens Rittscher:
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. MLMI@MICCAI 2019: 489-497 - Hykoush Asaturyan, E. Louise Thomas, Julie Fitzpatrick, Jimmy D. Bell, Barbara Villarini:
Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function. MLMI@MICCAI 2019: 27-35 - Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath:
A Maximum Entropy Deep Reinforcement Learning Neural Tracker. MLMI@MICCAI 2019: 400-408 - Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. MLMI@MICCAI 2019: 124-132 - Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI 2019: 355-363 - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI 2019: 382-390 - Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 2019: 310-318 - Saurabh Garg, Martin J. McKeown:
Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease. MLMI@MICCAI 2019: 655-663 - Noha M. Ghatwary, Massoud Zolgharni, Xujiong Ye:
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images. MLMI@MICCAI 2019: 89-97 - Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos:
Deep Active Lesion Segmentation. MLMI@MICCAI 2019: 98-105 - Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
End-to-End Boundary Aware Networks for Medical Image Segmentation. MLMI@MICCAI 2019: 187-194 - Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images. MLMI@MICCAI 2019: 283-291 - Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang:
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning. MLMI@MICCAI 2019: 106-114 - Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni:
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation. MLMI@MICCAI 2019: 160-168 - Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. MLMI@MICCAI 2019: 516-524 - Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. MLMI@MICCAI 2019: 533-540 - Abdullah-Al-Zubaer Imran, Demetri Terzopoulos:
Semi-supervised Multi-task Learning with Chest X-Ray Images. MLMI@MICCAI 2019: 151-159 - Avelino Javer, Jens Rittscher:
Semantic Filtering Through Deep Source Separation on Microscopy Images. MLMI@MICCAI 2019: 498-506 - Yiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li:
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. MLMI@MICCAI 2019: 507-515 - Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. MLMI@MICCAI 2019: 178-186 - Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne:
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI 2019: 583-591 - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI 2019: 301-309 - Dongyang Kuang, Tanya Schmah:
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration. MLMI@MICCAI 2019: 646-654 - Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao:
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis. MLMI@MICCAI 2019: 9-17 - Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang:
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI 2019: 142-150 - Yi Li:
Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks. MLMI@MICCAI 2019: 337-344 - Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI 2019: 256-264 - Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI 2019: 133-141 - Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang, Yanfeng Wang:
Children's Neuroblastoma Segmentation Using Morphological Features. MLMI@MICCAI 2019: 81-88 - Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li:
Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks. MLMI@MICCAI 2019: 230-237
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