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ORCID14th MLMI@MICCAI 2023: Vancouver, BC, Canada - Part I
- Xiaohuan Cao
, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang:
Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14348, Springer 2024, ISBN 978-3-031-45672-5 - Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. 1-11 - Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Qiong Liu, Albert J. Sinusas, Chi Liu:
Cross-Domain Iterative Network for Simultaneous Denoising, Limited-Angle Reconstruction, and Attenuation Correction of Cardiac SPECT. 12-22 - Xin Wang, Zhenrong Shen, Zhiyun Song, Sheng Wang, Mengjun Liu, Lichi Zhang, Kai Xuan, Qian Wang:
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion. 23-32 - Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen:
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. 33-41 - Cheng Che Tsai, Xiaoyang Chen, Sahar Ahmad, Pew-Thian Yap:
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior. 42-51 - Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg:
SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. 52-61 - Sebastian Doerrich, Francesco Di Salvo, Christian Ledig:
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. 62-71 - Rodrigo Berto, Hanna Bugler, Renata M. C. R. Souza, Ashley Harris:
An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction. 72-82 - Khoa Tuan Nguyen, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve:
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs. 83-93 - Yan Jin, Jonathan DuBois, Chongyue Zhao, Liang Zhan, Audrey Gabelle, Neda Jahanshad, Paul M. Thompson, Arie Gafson, Shibeshih Mitiku Belachew:
Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN. 94-103 - Wafa Al Ghallabi, Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer. 104-114 - Junyu Chen, Yihao Liu, Yufan He, Yong Du:
Deformable Cross-Attention Transformer for Medical Image Registration. 115-125 - Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu:
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. 126-136 - Jan Ehrhardt, Heinz Handels:
Implicitly Solved Regularization for Learning-Based Image Registration. 137-146 - Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To:
BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. 147-156 - Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen:
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. 157-165 - Chaoyu Chen, Xin Yang, Rusi Chen, Junxuan Yu, Liwei Du, Jian Wang, Xindi Hu, Yan Cao, Yingying Liu, Dong Ni:
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation. 166-175 - Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li:
Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms. 176-185 - Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen:
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. 186-195 - Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang:
Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. 196-206 - Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof:
Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers. 207-216 - Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering:
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images. 217-226 - Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, Wenting Duan:
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation. 227-236 - Puyang Wang, Panwen Hu, Jiali Liu, Hang Yu, Xianghua Ye, Jinliang Zhang, Hui Li, Li Yang, Le Lu, Dakai Jin, Feng-Ming (Spring) Kong:
Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation. 237-246 - Mohamad Hawchar, Joël Lefebvre:
Leveraging Self-attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images. 247-256 - Ao Chang, Xing Tao, Xin Yang, Yuhao Huang, Xinrui Zhou, Jiajun Zeng, Ruobing Huang, Dong Ni:
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation. 257-266 - Xiang Dong, Hai Xie, Yunlong Sun, Zhenquan Wu, Bao Yang, Junlong Qu, Guoming Zhang, Baiying Lei:
A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images. 267-276 - Weixi Yi, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images. 277-288 - Wenming Song, Xing An, Ting Liu, Yanbo Liu, Lei Yu, Jian Wang, Yuxiao Zhang, Lei Li, Longfei Cong, Lei Zhu:
A Domain-Free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences. 289-298 - Yongze Wang, Maurice Pagnucco, Yang Song:
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks. 299-309 - Muhammad F. A. Chaudhary, Seyed Soheil Hosseini, R. Graham Barr, Joseph M. Reinhardt, Eric A. Hoffman, Sarah E. Gerard:
Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-supervised Mediastinal Segmentation in CT. 310-319 - Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou:
RelationalUNet for Image Segmentation. 320-329 - Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. 330-340 - Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Sara L. Saunders, Simon John Christoph Soerensen, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu:
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. 341-350 - Sania Eskandari, Janet Lumpp, Luis G. Sánchez Giraldo:
Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling. 351-360 - Aishik Konwer, Chao Chen, Prateek Prasanna:
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. 361-371 - Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua:
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. 372-381 - Anees Kazi, Soroush Farghadani, Iman Aganj, Nassir Navab:
IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. 382-392 - Zheng Yu, Yanyuan Qiao, Yutong Xie, Qi Wu:
Multi-modal Adapter for Medical Vision-and-Language Learning. 393-402 - Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen:
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation. 403-412 - Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil:
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. 413-423 - Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang, He Zhang, Chaoxiang Yang, Gang Li:
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation. 424-433 - Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub:
PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. 434-443 - Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan:
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. 444-453 - Lucas Farndale, Robert H. Insall, Ke Yuan:
More from Less: Self-supervised Knowledge Distillation for Routine Histopathology Data. 454-463 - Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li:
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. 464-473
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