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ORCID25th MICCAI 2022: Singapore - Part III
- 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 III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1
Breast Imaging
- Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. 3-13 - Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. 14-24 - Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh:
Deep is a Luxury We Don't Have. 25-35 - Maya Gilad, Moti Freiman:
PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model. 36-45 - Zizhao Sun, Huiqin Jiang, Ling Ma, Zhan Yu, Hongwei Xu:
Transformer Based Multi-view Network for Mammographic Image Classification. 46-54 - Kihyun You, Suho Lee, Kyuhee Jo, Eunkyung Park, Thijs Kooi, Hyeonseob Nam:
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography. 55-64
Colonoscopy
- Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li:
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. 67-77 - Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li:
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. 78-87 - Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro:
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. 88-98 - Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li:
Lesion-Aware Dynamic Kernel for Polyp Segmentation. 99-109 - Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su, Sifan Song:
Stepwise Feature Fusion: Local Guides Global. 110-120 - Alexander Jenke, Sebastian Bodenstedt, Martin Wagner, Johanna M. Brandenburg, Antonia Stern, Lars Mündermann, Marius Distler, Jürgen Weitz, Beat P. Müller-Stich, Stefanie Speidel:
Stay Focused - Enhancing Model Interpretability Through Guided Feature Training. 121-129 - Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin:
On the Uncertain Single-View Depths in Colonoscopies. 130-140 - Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang:
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency. 141-150 - Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-Guided Attention for Improved Polyp Segmentation. 151-160
Computer Aided Diagnosis
- Han Li, Long Chen, Hu Han, S. Kevin Zhou:
SATr: Slice Attention with Transformer for Universal Lesion Detection. 163-174 - Menglei Jiao, Hong Liu, Jianfang Liu, Hanqiang Ouyang, Xiangdong Wang, Liang Jiang, Huishu Yuan, Yueliang Qian:
MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches. 175-185 - Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. 186-195 - Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. 196-206 - Yu Zhang, Jun Ma, Jing Li:
Coronary R-CNN: Vessel-Wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography. 207-216 - Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. 217-226 - Yankai Jiang, Yiming Li, Xinyue Wang, Yubo Tao, Jun Lin, Hai Lin:
CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection. 227-237 - Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. 238-248 - Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. 249-260 - Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi:
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. 261-270 - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Context-Aware Transformers for Spinal Cancer Detection and Radiological Grading. 271-281 - Yingjie Feng, Jun Wang, Dongsheng An, Xianfeng Gu, Xiaoyin Xu, Min Zhang:
End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival. 282-291 - Haibo Yang, Shengjie Zhang, Xiaoyang Han, Botao Zhao, Yan Ren, Yaru Sheng, Xiao-Yong Zhang:
Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic Confidence. 292-302 - Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li:
ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. 303-312 - Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. 313-323 - Junyong Shen, Yan Hu, Xiaoqing Zhang, Zhongxi Qiu, Tingming Deng, Yanwu Xu, Jiang Liu:
Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection. 324-333 - Eunsong Kang, Da-Woon Heo, Heung-Il Suk:
Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis. 334-343 - Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang:
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. 344-354 - Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. 355-365 - Amir Reza Sadri, Thomas DeSilvio, Prathyush Chirra, Sneha Singh, Satish E. Viswanath:
Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI. 366-375 - Faris Almalik, Mohammad Yaqub, Karthik Nandakumar:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. 376-386 - Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli:
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. 387-397 - Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran:
mulEEG: A Multi-view Representation Learning on EEG Signals. 398-407 - Guinther Saibro, Michele Diana, Benoît Sauer, Jacques Marescaux, Alexandre Hostettler, Toby Collins:
Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling. 408-418 - Peter Thompson, Daniel C. Perry, Timothy F. Cootes, Claudia Lindner:
Automation of Clinical Measurements on Radiographs of Children's Hips. 419-428 - Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann:
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. 429-438 - Syed Zulqarnain Gilani, Naeha Sharif, David Suter, John T. Schousboe, Siobhan Reid, William D. Leslie, Joshua R. Lewis:
Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans. 439-450 - Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Overlooked Trustworthiness of Saliency Maps. 451-461 - Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge:
Flexible Sampling for Long-Tailed Skin Lesion Classification. 462-471 - Ting Liu, Xing An, Yanbo Liu, Yuxi Liu, Bin Lin, Runzhou Jiang, Wenlong Xu, Longfei Cong, Lei Zhu:
A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images. 472-481 - Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze:
Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. 482-491 - Yordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab:
CACTUSS: Common Anatomical CT-US Space for US Examinations. 492-501 - Linde S. Hesse, Ana I. L. Namburete:
INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples. 502-511 - Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan:
Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. 512-522 - Haoxuan Che, Haibo Jin, Hao Chen:
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement. 523-533 - Yiwen Zhang, Chengguang Hu, Liming Zhong, Yangda Song, Jiarun Sun, Meng Li, Lin Dai, Yuanping Zhou, Wei Yang:
Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma Based on Longitudinal Ultrasound Images. 534-543 - Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro:
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. 544-553 - Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang:
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. 554-563 - Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. 564-573 - Connor Elkhill, Scott LeBeau, Brooke French, Antonio R. Porras:
Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry. 574-583 - Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays. 584-593 - Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge:
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. 594-603 - Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, Lequan Yu:
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification. 604-613 - Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. 614-623 - Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen:
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. 624-633 - Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier:
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. 634-643 - Kimberly Amador, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. 644-654 - Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou:
A Medical Semantic-Assisted Transformer for Radiographic Report Generation. 655-664 - Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng, Ruobing Huang:
Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound. 665-674 - Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim:
Morphology-Aware Interactive Keypoint Estimation. 675-685 - Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework. 686-696 - Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. 697-706 - Yimu Pan, Alison D. Gernand, Jeffery A. Goldstein, Leena B. Mithal, Delia Mwinyelle, James Z. Wang:
Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images. 707-716 - Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. 717-727 - Wei Zhu, Jiebo Luo:
Federated Medical Image Analysis with Virtual Sample Synthesis. 728-738 - Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr:
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. 739-748 - Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun:
Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. 749-759 - Ziga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin:
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. 760-769 - Yanbo Shao, Minghao Wang, Juanyun Mai, Xinliang Fu, Mei Li, Jiayin Zheng, Zhaoqi Diao, Airu Yin, Yulong Chen, Jianyu Xiao, Jian You, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo Wang, Hua Ji:
LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening. 770-779 - Joohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon:
Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging. 780-790
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