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12th MLMI@MICCAI 2021: Strasbourg, France
- Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan:
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12966, Springer 2021, ISBN 978-3-030-87588-6 - Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher:
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. 1-9 - Hao Guan
, Li Wang
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. 10-19 - Junrui Liu, Cong Hua, Liang Zhang, Ping Li, Xiaoyuan Lu:
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks. 20-29 - Ling Huang
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. 30-39 - Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang:
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. 40-49 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. 50-60 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. 61-69 - Jie Wei
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. 70-79 - Jingya Liu, Oguz Akin, Yingli Tian
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation. 80-90 - Ivan Drokin
End-to-End Lung Nodule Detection Framework with Model-Based Feature Projection Block. 91-100 - Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers:
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. 101-109 - Zhanghexuan Ji, Mohammad Abuzar Shaikh
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. 110-119 - Zuhui Wang, Zhaozheng Yin:
Cell Counting by a Location-Aware Network. 120-129 - Mingxin Jiang, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks. 130-139 - Islem Mhiri
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. 140-150 - Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. 151-160 - Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. 161-170 - Yue Sun
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. 171-179 - Yutong Yan
Deep Active Learning for Dual-View Mammogram Analysis. 180-189 - Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. 190-198 - Peng Liu, Guoyan Zheng:
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization. 199-208 - Ignacio Sarasua, Sebastian Pölsterl
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. 209-218 - Wenjun Shen
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. 219-227 - Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. 228-237 - Federica Proietto Salanitri
Hierarchical 3D Feature Learning forPancreas Segmentation. 238-247 - Heng Wang
Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. 248-257 - Zehong Cao
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. 258-266 - Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. 267-276 - Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. 277-286 - Yaocong Zou, Yonghong Shi:
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention. 287-295 - Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. 296-305 - Fabian Gröger, Anne-Marie Rickmann
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. 306-316 - Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. 317-326 - JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. 327-336 - Suhyeon Jeong, Seungkyu Lee:
Biased Extrapolation in Latent Space forImbalanced Deep Learning. 337-346 - Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. 347-355 - Wenzheng Tao, Riddhish Bhalodia, Ross T. Whitaker:
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data. 356-365 - Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity. 366-375 - Eren Bora Yilmaz, Christian Bürger, Tobias Fricke, Md Motiur Rahman Sagar
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images. 376-385 - Yunxiang Li
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation. 386-395 - Ugur Demir, Ismail Irmakci
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. 396-405 - Reza Azad, Lucas Rouhier, Julien Cohen-Adad:
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling. 406-415 - Dayang Wang, Zhan Wu, Hengyong Yu
TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising. 416-425 - Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. 426-436 - Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. 437-446 - Qingyong Zhu, Dong Liang:
Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI. 447-456 - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran
Window-Level Is a Strong Denoising Surrogate. 457-466 - Diego Machado Reyes
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. 467-476 - Shiv Gehlot, Anubha Gupta
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. 477-486 - Wenzhao Wei, Sacha Haidinger, John G. Lock
Deep Representation Learning for Image-Based Cell Profiling. 487-497 - Xiaoyang Han, Yuting Zhai, Ziqi Yu, Tingying Peng, Xiao-Yong Zhang:
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. 498-506 - Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. 507-516 - Runze Wang, Guoyan Zheng:
Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization. 517-526 - Jupeng Li, Yinghui Wang, Shuai Wang, Kai Zhang, Gang Li:
Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference. 527-536 - Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. 537-545 - Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen:
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. 546-554 - Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. 555-564 - Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. 565-575 - Xiao Zhang
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. 576-585 - Ramy A. Zeineldin
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance. 586-595 - Alina Dima, Johannes C. Paetzold, Friederike Jungmann
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. 596-605 - Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. 606-614 - Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. 615-623 - Raphael Ronge
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. 624-633 - Kai Zhang, Jupeng Li, Ruohan Ma, Gang Li:
3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network. 634-643 - Yoonmi Hong
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. 644-653 - Pablo Pino
Clinically Correct Report Generation from Chest X-Rays Using Templates. 654-663 - Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu:
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. 664-673 - Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu:
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. 674-681 - Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. 682-691 - Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. 692-702
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