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25th MICCAI 2022: Singapore - Part IV
- Linwei Wang, Qi Dou
, P. Thomas Fletcher
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2
Microscopic Image Analysis
- Chao Xia, Jiyue Wang, Yulei Qin
An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention. 3-13 - Xiaoyu Liu, Bo Hu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Efficient Biomedical Instance Segmentation via Knowledge Distillation. 14-24 - Peter Hirsch
Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages. 25-35 - Qi Chen, Mingxing Li, Jiacheng Li, Bo Hu, Zhiwei Xiong:
Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation. 36-46 - Jun Wu, Bo Shen, Hanwen Zhang, Jianing Wang, Qi Pan, Jianfeng Huang, Lixin Guo, Jianchun Zhao, Gang Yang, Xirong Li, Dayong Ding:
Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography. 47-57 - David Wiesner
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. 58-67 - Lin Li, Jingyi Liu, Shuo Wang
Trichomonas Vaginalis Segmentation in Microscope Images. 68-78 - Jiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu
NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation. 79-88 - Wei Huang, Xiaoyu Liu, Zhen Cheng, Yueyi Zhang, Zhiwei Xiong:
Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency. 89-98 - Yu Liu
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. 99-108 - Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-End Cell Recognition by Point Annotation. 109-118 - Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening Using Self-attention Guided Networks. 119-128 - Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. 129-139 - Yeman Brhane Hagos, Ayse U. Akarca, Alan Ramsay, Riccardo L. Rossi, Sabine Pomplun, Alessia Moioli, Andrea Gianatti, Christopher Mcnamara, Alessandro Rambaldi
DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface. 140-149 - Dominik Jens Elias Waibel
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction. 150-159
Positron Emission Tomography
- Xueqi Guo, Bo Zhou, Xiongchao Chen, Chi Liu, Nicha C. Dvornek:
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. 163-172 - Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li:
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. 173-183 - Rui Hu
TransEM: Residual Swin-Transformer Based Regularized PET Image Reconstruction. 184-193 - Tianyi Zeng
Supervised Deep Learning for Head Motion Correction in PET. 194-203
Ultrasound Imaging
- Pak-Hei Yeung
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images. 207-217 - Ali Kafaei Zad Tehrani, Hassan Rivaz:
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography. 218-227 - He Zhao, Qingqing Zheng, Clare Teng
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. 228-237 - Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang:
Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos. 238-247 - Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li:
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis. 248-257 - Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. 258-267 - Yanting Xie, Hongen Liao
Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. 268-278 - Netanell Avisdris
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes. 279-289 - Mingyuan Luo, Xin Yang, Hongzhang Wang, Liwei Du, Dong Ni:
Deep Motion Network for Freehand 3D Ultrasound Reconstruction. 290-299 - Yuxin Zou, Haoran Dou, Yuhao Huang
Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. 300-309 - Jiamin Liang, Xin Yang, Yuhao Huang
Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling. 310-319 - Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang
Class Impression for Data-Free Incremental Learning. 320-329 - Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. 330-339 - Li-Hsin Cheng
Contrastive Learning for Echocardiographic View Integration. 340-349 - Szymon Plotka
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. 350-359 - Masoud Mokhtari
EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks. 360-369 - Rand Muhtaseb
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography. 370-379 - Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef:
Light-weight Spatio-Temporal Graphs for Segmentation and Ejection Fraction Prediction in Cardiac Ultrasound. 380-390 - Jialu Li, Qingqing Zheng, Mingshuang Li, Ping Liu, Qiong Wang, Litao Sun, Lei Zhu:
Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network. 391-400 - Shoukun Sun
MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. 401-410 - Mahdi Gilany, Paul F. R. Wilson, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi:
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound. 411-420
Video Data Analysis
- Soumen Basu
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining. 423-433 - Miaomiao Cai, Mingxing Li, Zhiwei Xiong, Pengju Zhao, Enyao Li, Jiulai Tang:
An Advanced Deep Learning Framework for Video-Based Diagnosis of ASD. 434-444 - Tingting Chen, Yi Cheng, Jinhong Wang, Zhaoxia Yang, Wenhao Zheng, Danny Z. Chen, Jian Wu:
Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection. 445-455 - Xinkai Zhao, Zhenhua Wu
Semi-supervised Spatial Temporal Attention Network for Video Polyp Segmentation. 456-466 - Wenda Li
Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency. 467-477 - Adam Schmidt
Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos. 478-488 - Haozheng Zhang
Pose-Based Tremor Classification for Parkinson's Disease Diagnosis from Video. 489-499
Image Segmentation I
- Jiancheng Yang
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. 503-513 - Runze Wang, Qin Zhou, Guoyan Zheng:
Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning. 514-523 - Yanda Meng, Xu Chen, Hongrun Zhang, Yitian Zhao, Dongxu Gao
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency. 524-534 - Youbao Tang, Ning Zhang, Yirui Wang
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. 535-544 - Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia:
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation. 545-555 - Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan:
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). 556-566 - Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. 567-577 - Yi Li
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images. 578-587 - Xiaoqing Guo
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels. 588-598 - Yantao Shen, Ye Lu, Xiao Jia, Fan Bai, Max Q.-H. Meng:
Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation. 599-608 - Adeleh Bitarafan, Mohammad Farid Azampour
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. 609-618 - Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao:
Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. 619-628 - Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao:
Using Guided Self-Attention with Local Information for Polyp Segmentation. 629-638 - Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. 639-652 - Peng Liu, Guoyan Zheng:
Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ Segmentation. 653-662 - Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler
Vector Quantisation for Robust Segmentation. 663-672 - Luyue Shi, Xuanye Zhang, Yunbi Liu, Xiaoguang Han:
A Hybrid Propagation Network for Interactive Volumetric Image Segmentation. 673-682 - Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. 683-692 - Ilyas Sirazitdinov
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. 693-703 - Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang
Transforming the Interactive Segmentation for Medical Imaging. 704-713 - Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou:
Learning Incrementally to Segment Multiple Organs in a CT Image. 714-724 - Xiao Huang, Xiaodong Yue, Zhikang Xu
Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. 725-735 - Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed:
Test-Time Adaptation with Shape Moments for Image Segmentation. 736-745
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