MLMI@MICCAI (1)

Keyphrases

Publications

volume 14348, 2024

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 MLMI@MICCAI (1) 14348 (2024)

2023

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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images. MLMI@MICCAI (1) (2023)
Junyu Chen, Yihao Liu, Yufan He, Yong Du
Deformable Cross-Attention Transformer for Medical Image Registration. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Lucas Farndale, Robert H. Insall, Ke Yuan
More from Less: Self-supervised Knowledge Distillation for Routine Histopathology Data. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, Wenting Duan
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation. MLMI@MICCAI (1) (2023)
Jan Ehrhardt, Heinz Handels
Implicitly Solved Regularization for Learning-Based Image Registration. MLMI@MICCAI (1) (2023)
Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li
Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms. MLMI@MICCAI (1) (2023)
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Aishik Konwer, Chao Chen, Prateek Prasanna
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Valentina Corbetta, Regina Beets-Tan, Wilson Silva
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. MLMI@MICCAI (1) (2023)
Rodrigo Berto, Hanna Bugler, Renata M. C. R. Souza, Ashley Harris
An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) (2023)
Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. MLMI@MICCAI (1) (2023)
Yongze Wang, Maurice Pagnucco, Yang Song
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Wafa Al Ghallabi, Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan
Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer. MLMI@MICCAI (1) (2023)
Cheng Che Tsai, Xiaoyang Chen, Sahar Ahmad, Pew-Thian Yap
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Mohamad Hawchar, Joël Lefebvre
Leveraging Self-attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images. MLMI@MICCAI (1) (2023)
Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
RelationalUNet for Image Segmentation. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Sania Eskandari, Janet Lumpp, Luis G. Sánchez Giraldo
Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling. MLMI@MICCAI (1) (2023)
Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)
Zheng Yu, Yanyuan Qiao, Yutong Xie, Qi Wu
Multi-modal Adapter for Medical Vision-and-Language Learning. MLMI@MICCAI (1) (2023)
Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) (2023)
Anees Kazi, Soroush Farghadani, Iman Aganj, Nassir Navab
IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction. MLMI@MICCAI (1) (2023)
Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. MLMI@MICCAI (1) (2023)
Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation. MLMI@MICCAI (1) (2023)
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. MLMI@MICCAI (1) (2023)