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ORCID9th MLMI@MICCAI 2018: Granada, Spain
- Yinghuan Shi, Heung-Il Suk, Mingxia Liu:
Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11046, Springer 2018, ISBN 978-3-030-00918-2 - Biao Jie, Mingxia Liu
, Chunfeng Lian, Feng Shi, Dinggang Shen:
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. 1-9 - Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang:
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. 10-18 - Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara:
Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation. 19-27 - Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia:
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. 28-36 - Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. 37-45 - Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. 46-54 - Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. 55-63 - Jun-Sik Choi, Eunho Lee, Heung-Il Suk:
Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis. 64-72 - Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty:
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. 73-80 - Gerard Sanroma, Loes Rutten-Jacobs, Valerie Lohner, Johanna Kramme, Sach Mukherjee, Martin Reuter, Tony Stöcker, Monique M. B. Breteler:
SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy. 81-88 - Frank Preiswerk, Cheng-Chieh Cheng, Jie Luo, Bruno Madore:
Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks. 89-97 - Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. 98-106 - Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser:
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. 107-115 - Mohammad Ali Maraci, Weidi Xie, J. Alison Noble:
Can Dilated Convolutions Capture Ultrasound Video Dynamics? 116-124 - Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. 125-133 - Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen:
Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. 134-142 - Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. 143-151 - Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan C. Evans:
Brain Status Prediction with Non-negative Projective Dictionary Learning. 152-160 - Weixiang Chen, Hongchen Ji, Jianjiang Feng, Rong Liu, Yi Yu, Ruiquan Zhou, Jie Zhou:
Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images. 161-169 - Taibou Birgui Sekou, Moncef Hidane, Julien Olivier, Hubert Cardot:
Retinal Blood Vessel Segmentation Using a Fully Convolutional Network - Transfer Learning from Patch- to Image-Level. 170-178 - Konstantin Thierbach, Pierre-Louis Bazin, Walter de Back, Filippos Gavriilidis, Evgeniya Kirilina, Carsten Jäger, Markus Morawski, Stefan Geyer, Nikolaus Weiskopf, Nico Scherf:
Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics. 179-187 - Guodong Zeng, Qian Wang, Till D. Lerch, Florian Schmaranzer, Moritz Tannast, Klaus-Arno Siebenrock, Guoyan Zheng:
Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip. 188-196 - Pingkun Yan, Sheng Xu, Ardeshir R. Rastinehad, Bradford J. Wood:
Adversarial Image Registration with Application for MR and TRUS Image Fusion. 197-204 - Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther E. Bron:
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. 205-213 - Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter:
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. 214-222 - Zhewei Wang, Charles D. Smith, Jundong Liu:
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. 223-232 - Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen:
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. 233-240 - Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. 241-248 - Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. 249-258 - Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Graph of Hippocampal Subfields Grading for Alzheimer's Disease Prediction. 259-266 - Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. 267-275 - Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. 276-284 - Ali Memariani, Ioannis A. Kakadiaris:
SoLiD: Segmentation of Clostridioides Difficile Cells in the Presence of Inhomogeneous Illumination Using a Deep Adversarial Network. 285-293 - Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone:
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. 294-302 - Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang:
Early Diagnosis of Autism Disease by Multi-channel CNNs. 303-309 - Haijun Lei, Zhongwei Huang, Ahmed El-Azab, Hancong Li, Baiying Lei:
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. 310-318 - Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. 319-327 - Jong Taek Lee, Eunhee Park:
Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks. 328-336 - Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli:
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. 337-345 - Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. 346-354 - Haifang Qin, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network. 355-362 - Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. 363-370 - Yungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images. 371-379 - Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li:
Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks. 380-388 - Yan Shen, Mingchen Gao:
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. 389-397 - Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). 398-405
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