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ORCID25th MICCAI 2022: Singapore - Part IV
- Linwei Wang, Qi Dou
, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
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, Yun Gu, Bing Chen, Jie Yang:
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, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke:
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, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink:
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. 58-67 - Lin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang:
Trichomonas Vaginalis Segmentation in Microscope Images. 68-78 - Jiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu, Lijun Guo, Yalin Zheng, Jiong Zhang, Yitian Zhao:
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, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng:
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, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
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, Sergio A. Quezada, David Linch, Giuseppe Gritti, Teresa Marafioti, Yinyin Yuan:
DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface. 140-149 - Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck:
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, Huafeng Liu:
TransEM: Residual Swin-Transformer Based Regularized PET Image Reconstruction. 184-193 - Tianyi Zeng, Jiazhen Zhang, Enette Mae Revilla, Eléonore V. Lieffrig, Xi Fang, Yihuan Lu, John A. Onofrey:
Supervised Deep Learning for Head Motion Correction in PET. 194-203
Ultrasound Imaging
- Pak-Hei Yeung, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete:
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, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
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, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang:
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. 258-267 - Yanting Xie, Hongen Liao, Daoqiang Zhang, Fang Chen:
Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. 268-278 - Netanell Avisdris, Leo Joskowicz, Brian Dromey, Anna L. David, Donald M. Peebles, Danail Stoyanov, Dafna Ben-Bashat, Sophia Bano:
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, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni:
Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. 300-309 - Jiamin Liang, Xin Yang, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni:
Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling. 310-319 - Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li:
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, Xiaowu Sun, Rob J. van der Geest:
Contrastive Learning for Echocardiographic View Integration. 340-349 - Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek:
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. 350-359 - Masoud Mokhtari, Teresa Tsang, Purang Abolmaesumi, Renjie Liao:
EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks. 360-369 - Rand Muhtaseb, Mohammad Yaqub:
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, Min Xian, Aleksandar Vakanski, Hossny Ghanem:
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, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora:
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, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan, Guanbin Li:
Semi-supervised Spatial Temporal Attention Network for Video Polyp Segmentation. 456-466 - Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori:
Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency. 467-477 - Adam Schmidt, Omid Mohareri, Simon P. DiMaio, Septimiu E. Salcudean:
Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos. 478-488 - Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang, Hubert P. H. Shum:
Pose-Based Tremor Classification for Parkinson's Disease Diagnosis from Video. 489-499
Image Segmentation I
- Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
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, Barbra Hamill, Godhuli Patri, Tunde Peto, Savita Madhusudhan, Yalin Zheng:
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency. 524-534 - Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
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, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li:
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images. 578-587 - Xiaoqing Guo, Yixuan Yuan:
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, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab:
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, Andrea G. Rockall, Ben Glocker:
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, Fei Liao, Shuo Li:
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. 683-692 - Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov:
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, Yufei Chen:
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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