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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part VI
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14225, Springer 2023, ISBN 978-3-031-43986-5
Computer-Aided Diagnosis II
- Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, Liwei Wang:
Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection. 3-13 - Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Zhen Chen:
Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation. 14-23 - Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge:
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. 24-33 - Jann-Ole Henningson, Marion Semmler, Michael Döllinger, Marc Stamminger:
Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopy. 34-43 - Bin Huang, Ziyue Xu, Shing-Chow Chan, Zhong Liu, Huiying Wen, Chao Hou, Qicai Huang, Meiqin Jiang, Changfeng Dong, Jie Zeng, Ruhai Zou, Bingsheng Huang, Xin Chen, Shuo Li:
A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. 44-53 - Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen:
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. 54-63 - Junlong Cheng, Chengrui Gao, Fengjie Wang, Min Zhu:
SegNetr: Rethinking the Local-Global Interactions and Skip Connections in U-Shaped Networks. 64-74 - Xiaohan Xing, Zhen Chen, Zhifan Gao, Yixuan Yuan:
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels. 75-84 - Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen:
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. 85-94 - Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. 95-105 - Huilin Yang, Roger C. Tam, Xiaoying Tang:
Whole-Heart Reconstruction with Explicit Topology Integrated Learning. 106-115 - Yimu Pan, Tongan Cai, Manas Mehta, Alison D. Gernand, Jeffery A. Goldstein, Leena B. Mithal, Delia Mwinyelle, Kelly Gallagher, James Ze Wang:
Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning. 116-126 - Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu:
Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation. 127-136 - Yizhou Chen, Xiaojun Chen:
A Semantic-Guided and Knowledge-Based Generative Framework for Orthodontic Visual Outcome Preview. 137-147 - Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xin-Cen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Bei-Li Wang, Wei Guo, Yuan Jiang:
A Multi-task Method for Immunofixation Electrophoresis Image Classification. 148-158 - Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen:
Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. 159-168 - Haojie Han, Hongen Liao, Daoqiang Zhang, Wentao Kong, Fang Chen:
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. 169-179 - Jiaqi Zhang, Yan Hu, Xiaojuan Qi, Ting Meng, Lihui Wang, Huazhu Fu, Mingming Yang, Jiang Liu:
Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation. 180-190 - Zhenghao Feng, Lu Wen, Peng Wang, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang:
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model. 191-201 - Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang:
A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images. 202-212 - Ang Zhang, Guijuan Peng, Jialan Zheng, Jun Cheng, Xiaohua Liu, Qian Liu, Yuanyuan Sheng, Yingqi Zheng, Yumei Yang, Jie Deng, Yingying Liu, Wufeng Xue, Dong Ni:
Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning. 213-222 - Keming Tang, Zhenyi Ge, Rongbo Ling, Jun Cheng, Wufeng Xue, Cuizhen Pan, Xianhong Shu, Dong Ni:
Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning. 223-232 - Jiangdong Cai, Honglin Xiong, Maosong Cao, Luyan Liu, Lichi Zhang, Qian Wang:
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening. 233-242 - Maosong Cao, Manman Fei, Jiangdong Cai, Luyan Liu, Lichi Zhang, Qian Wang:
Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images. 243-252 - Ashwin Raju, Micha Kornreich, Colin Hansen, James Browning, Jayashri Pawar, Richard Herzog, Benjamin Odry, Li Zhang:
Improving Pathology Localization: Multi-series Joint Attention Takes the Lead. 253-262 - Hongyan Xu, Dadong Wang, Arcot Sowmya, Ian Katz:
Detection of Basal Cell Carcinoma in Whole Slide Images. 263-272 - Afsah Saleem, Zaid Ilyas, David Suter, Ghulam Mubashar Hassan, Siobhan Reid, John T. Schousboe, Richard Prince, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani:
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans. 273-283 - Rohan Dhamdhere, Gourav Modanwal, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, Satvika Bharadwaj, Pingfu Fu, Ioannis Milioglou, Mahboob Rahman, Sadeer Al-Kindi, Anant Madabhushi:
STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models. 284-294 - Xueli Chen, Xinqi Fan, Bernard Chiu:
Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging. 295-305 - Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. 306-316 - Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. 317-326 - Zixuan Wang, Yifan Shao, Jingyi Sun, Zhili Huang, Su Wang, Qiyong Li, Jinsong Li, Qian Yu:
Vision Transformer Based Multi-class Lesion Detection in IVOCT. 327-336 - Birgi Tamersoy, Felix Alexandru Pîrvan, Santosh Pai, Ankur Kapoor:
Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging Using a Depth Camera. 337-346 - Elena Denisova, Leonardo Manetti, Leonardo Bocchi, Ernesto Iadanza:
AR2T: Advanced Realistic Rendering Technique for Biomedical Volumes. 347-357 - Marzieh Oghbaie, Teresa Araújo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data. 358-367 - Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Y. Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S. M. Tsang:
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. 368-378 - Xueyang Li, Han Xiao, Weixiang Weng, Xiaowei Xu, Yiyu Shi:
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans. 379-388 - Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern H. Menze:
Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays. 389-399 - Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. 400-410 - Yuwen Tan, Xiang Xiang, Yifeng Chen, Hongyi Jing, Shiyang Ye, Chaoran Xue, Hui Xu:
Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models. 411-420 - Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu:
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. 421-432 - Thanaporn Viriyasaranon, Serie Ma, Jang Hwan Choi:
Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model. 433-443 - Zhonghang Zhu, Qichang Chen, Lequan Yu, Lianxin Wang, Defu Zhang, Baptiste Magnier, Liansheng Wang:
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair. 444-453
Computational Pathology
- Mengkang Lu, Tianyi Wang, Yong Xia:
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis. 457-466 - Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. 467-476 - Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair:
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. 477-486 - Zhenrong Shen, Maosong Cao, Sheng Wang, Lichi Zhang, Qian Wang:
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification. 487-496 - Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. 497-507 - Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang:
Gene-Induced Multimodal Pre-training for Image-Omic Classification. 508-517 - Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. 518-527 - Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian:
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. 528-538 - Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang:
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. 539-548 - Yiqing Shen, Jing Ke:
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. 549-559 - Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao:
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. 560-569 - Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. 570-579 - Junchao Zhu, Yiqing Shen, Haolin Zhang, Jing Ke:
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. 580-590 - Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen:
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. 591-601 - Saisai Ding, Jun Wang, Juncheng Li, Jun Shi:
Multi-scale Prototypical Transformer for Whole Slide Image Classification. 602-611 - Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao:
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. 612-621 - Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction. 622-631 - Fangda Li, Zhiqiang Hu, Wen Chen, Avinash C. Kak:
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs. 632-641 - Zichen Wang, Mara Pleasure, Haoyue Zhang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold:
Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides. 642-651 - Manman Fei, Xin Zhang, Maosong Cao, Zhenrong Shen, Xiangyu Zhao, Zhiyun Song, Qian Wang, Lichi Zhang:
Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement. 652-661 - Mengxue Sun, Wenhui Huang, Yuanjie Zheng:
Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images. 662-672 - Long Chen, Han Li, S. Kevin Zhou:
Label-Free Nuclei Segmentation Using Intra-Image Self Similarity. 673-682 - Jing Wei Tan, Won-Ki Jeong:
Histopathology Image Classification Using Deep Manifold Contrastive Learning. 683-692 - Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models. 693-703 - Parmida Ghahremani, Joseph Marino, Juan Hernandez-Prera, Janis V. de la Iglesia, Robbert J. C. Slebos, Christine H. Chung, Saad Nadeem:
An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment. 704-713 - Kun Wu, Yushan Zheng, Jun Shi, Fengying Xie, Zhiguo Jiang:
Position-Aware Masked Autoencoder for Histopathology WSI Representation Learning. 714-724 - Jonathan Tarquino, Jhonathan Rodriguez, Charlens Álvarez Jimenez, Eduardo Romero:
A One-Class Variational Autoencoder (OCVAE) Cascade for Classifying Atypical Bone Marrow Cell Sub-types. 725-734 - Lulin Shi, Yan Zhang, Ivy H. M. Wong, Claudia T. K. Lo, Terence T. W. Wong:
MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation. 735-744 - Wentai Hou, Yan He, Bingjian Yao, Lequan Yu, Rongshan Yu, Feng Gao, Liansheng Wang:
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction. 745-754 - Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu:
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis. 755-764 - Puria Azadi, Jonathan Suderman, Ramin Nakhli, Katherine Rich, Maryam Asadi, Sonia Kung, Htoo Oo, Mira Keyes, Hossein Farahani, Calum MacAulay, Larry Goldenberg, Peter Black, Ali Bashashati:
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. 765-775 - Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani, Konstanty Korski:
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology. 776-785 - Aman Shrivastava, P. Thomas Fletcher:
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models. 786-796 - Sara ArabYarmohammadi, Germán Corredor, Yufei Zhou, Miguel López de Rodas, Kurt A. Schalper, Anant Madabhushi:
Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer. 797-807
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