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22nd MICCAI 2019: Shenzhen, China
- Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11767, Springer 2019, ISBN 978-3-030-32250-2
Shape (Including Neuroimage Shape)
- Philipp Ernst
, Georg Hille, Christian Hansen
A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations. 3-11 - Pan Su, Yitian Zhao, Tianhua Chen
Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity. 12-20 - Felix Ambellan
A Surface-Theoretic Approach for Statistical Shape Modeling. 21-29 - Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li
One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud. 30-38 - Sayed Mazdak Abulnaga
Placental Flattening via Volumetric Parameterization. 39-47 - Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung:
Fast Polynomial Approximation to Heat Diffusion in Manifolds. 48-56 - Sungmin Hong, James Fishbaugh, Jason J. Wolff, Martin A. Styner, Guido Gerig:
Hierarchical Multi-geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates. 57-65 - Vianney Debavelaere, Alexandre Bône
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. 66-74 - Tuo Zhang, Xiao Li, Lin Zhao
Group-Wise Graph Matching of Cortical Gyral Hinges. 75-83 - Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang:
Multi-view Graph Matching of Cortical Landmarks. 84-92 - Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. 93-101 - Kristen M. Campbell
Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance. 102-110
Prediction
- Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang:
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. 113-121 - Anees Kazi, Shayan Shekarforoush
Graph Convolution Based Attention Model for Personalized Disease Prediction. 122-130 - Haijun Lei, Yujia Zhao, Baiying Lei:
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. 131-139 - Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. 140-148 - Dan Hu, Han Zhang, Zhengwang Wu
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. 149-157 - Chunfeng Lian, Mingxia Liu
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. 158-167 - Wonsik Jung
Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression. 168-176 - Yannan Yu, Bhargav Parsi, William Speier, Corey W. Arnold, Min Lou, Fabien Scalzo:
LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke. 177-185 - Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. 186-195 - Martin Nørgaard
Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging. 196-204 - Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders. 205-213 - Yanfu Zhang, Liang Zhan, Weidong Cai
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. 214-222
Detection and Localization
- Ravnoor S. Gill, Benoît Caldairou, Neda Bernasconi, Andrea Bernasconi:
Uncertainty-Informed Detection of Epileptogenic Brain Malformations Using Bayesian Neural Networks. 225-233 - Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. 234-242 - Mingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro F. Frangi
Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning. 243-252 - Jeff Craley
Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks. 253-261 - Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas
Multiple Landmark Detection Using Multi-agent Reinforcement Learning. 262-270 - Lixi Deng, Sheng Tang, Huazhu Fu
Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images. 271-279 - Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. 280-288 - David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization Using Variational Auto-Encoders. 289-297 - Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar:
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs. 298-306 - Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. 307-315 - Shen Zhao, Xi Wu, Bo Chen, Shuo Li
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework. 316-325
Machine Learning
- Pablo Márquez-Neila, Raphael Sznitman:
Image Data Validation for Medical Systems. 329-337 - Mohammad Alsharid, Harshita Sharma
Captioning Ultrasound Images Automatically. 338-346 - Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi:
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. 347-355 - Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin
As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. 356-364 - Chris Yoon, Ghassan Hamarneh
Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification. 365-373 - Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin
Learning Task-Specific and Shared Representations in Medical Imaging. 374-383 - Zongwei Zhou
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. 384-393 - Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. 394-402 - Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network. 403-410 - Stefano B. Blumberg, Marco Palombo
Multi-stage Prediction Networks for Data Harmonization. 411-419 - Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. 420-428 - Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. 429-437 - Florian Dubost, Gerda Bortsova
Hydranet: Data Augmentation for Regression Neural Networks. 438-446 - Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. 447-455 - Xiaofeng Zhu
Robust and Discriminative Brain Genome Association Study. 456-464 - Alaa Bessadok
Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph. 465-474 - Fenqiang Zhao, Zhengwang Wu
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. 475-483 - Christian Wachinger
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. 484-492
Computer-Aided Diagnosis
- Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. 495-503 - Luyang Luo
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. 504-512 - Chaoxi Xu, Xiangjia Zhu, Wenwen He, Yi Lu, Xixi He, Zongjiang Shang, Jun Wu, Keke Zhang, Yinglei Zhang, Xianfang Rong, Zhennan Zhao, Lei Cai, Dayong Ding, Xirong Li
Fully Deep Learning for Slit-Lamp Photo Based Nuclear Cataract Grading. 513-521 - Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran:
Overcoming Data Limitation in Medical Visual Question Answering. 522-530 - Shaohua Li, Yong Liu, Xiuchao Sui
Multi-Instance Multi-Scale CNN for Medical Image Classification. 531-539 - Martin Holm Jensen, Dan Richter Jørgensen, Raluca Jalaboi
Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter-rater Agreement. 540-548 - Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid:
Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning. 549-557 - Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia:
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification. 558-566 - Hanqiu Ju, Wanwei Jian, Xiaoping Cen, Guangyi Wang, Wu Zhou:
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma. 567-574 - Jianan Chen
Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. 575-582 - Hangfan Liu
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. 583-592 - Felix Denzinger, Michael Wels, Nishant Ravikumar
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. 593-601 - Jeffrey E. Eben, Nathaniel Braman
Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE). 602-610 - Jacob Antunes, Zhouping Wei, Charlems Álvarez Jimenez
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. 611-619 - Zhicheng Jiao
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. 620-628 - Tao Zhou, Mingxia Liu
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. 629-638 - Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. 639-646 - Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework. 647-655 - James R. Clough
Global and Local Interpretability for Cardiac MRI Classification. 656-664 - Carole H. Sudre
Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. 665-673 - Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian. 674-682 - Samuel Budd
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. 683-691
Image Reconstruction and Synthesis
- Ilkay Öksüz, James R. Clough, Bram Ruijsink
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. 695-703 - Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. 704-712 - Jinming Duan
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. 713-722 - Luyao Shi, John A. Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard E. Carson, Chi Liu, Yihuan Lu:
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning. 723-731 - Nan Meng, Yan Yang, Zongben Xu, Jian Sun:
A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. 732-740 - Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. 741-749 - Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Consistent Brain Ageing Synthesis. 750-758 - Guodong Zeng, Guoyan Zheng:
Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis Using Unpaired Data. 759-767 - Wei Huang
Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble. 768-776 - Tianyang Zhang, Huazhu Fu
SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. 777-785 - Liangqiong Qu
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. 786-794 - Hongwei Li
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. 795-803
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