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ORCID14th MLMI@MICCAI 2023: Vancouver, BC, Canada - Part II
- 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 II. Lecture Notes in Computer Science 14349, Springer 2024, ISBN 978-3-031-45675-6 - Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao:
GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis. 1-10 - Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. 11-21 - Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. 22-32 - Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen:
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. 33-42 - Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu:
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. 43-52 - Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé:
3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer's Disease and Frontotemporal Dementia. 53-63 - Ziyu Zhou, Wenyuan Shen, Chang Liu:
Consisaug: A Consistency-Based Augmentation for Polyp Detection in Endoscopy Image Analysis. 64-73 - Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. 74-83 - Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen:
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. 84-93 - Yuwen Tan, Xiang Xiang:
Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces. 94-103 - Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen:
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. 104-113 - Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. 114-123 - Aniruddha Tamhane, Daniel Dobkin, Ore Shtalrid, Moshe Bouhnik, Erez Posner, Tse'ela Mida:
Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers. 124-133 - Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. 134-143 - Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. 144-154 - Jules Collenne, Rabah Iguernaissi, Séverine Dubuisson, Djamal Merad:
Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison. 155-163 - Kaizhong Zheng, Bin Ma, Badong Chen:
DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis. 164-173 - Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann:
Precise Localization Within the GI Tract by Combining Classification of CNNs and Time-Series Analysis of HMMs. 174-183 - Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li:
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. 184-193 - Yunlong Sun, Yiyao Liu, Junlong Qu, Xiang Dong, Xuegang Song, Baiying Lei:
COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism. 194-204 - Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath:
MoViT: Memorizing Vision Transformers for Medical Image Analysis. 205-213 - Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. 214-223 - Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis. 224-233 - Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. 234-242 - Kehao Deng, Bin Wang, Shanshan Ma, Zhong Xue, Xiaohuan Cao:
A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. 243-252 - Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas:
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. 253-263 - Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim:
Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. 264-272 - Ramona Ghilea, Islem Rekik:
Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. 273-282 - Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza:
A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. 283-292 - Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach:
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. 293-302 - Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. 303-313 - Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. 314-324 - Mariam Zabihi, Chayanin Tangwiriyasakul, Silvia Ingala, Luigi Lorenzini, Robin Camarasa, Frederik Barkhof, Marleen de Bruijne, M. Jorge Cardoso, Carole H. Sudre:
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. 325-334 - Santiago Posso Murillo, Oscar Skean, Luis G. Sánchez Giraldo:
Non-uniform Sampling-Based Breast Cancer Classification. 335-345 - Masum Shah Junayed, Sheida Nabavi:
A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification. 346-356 - Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan:
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. 357-366 - Thai Ngoc Toan Truong, Huy T. Nguyen, Thinh B. Lam, Duy V. M. Nguyen, Phuc H. Nguyen:
Delving into Ipsilateral Mammogram Assessment Under Multi-view Network. 367-376 - Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. 377-386 - Shruti Prashant Gadewar, Alyssa H. Zhu, Sunanda Somu, Abhinaav Ramesh, Iyad Ba Gari, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration. 387-395 - Erkun Yang, Cheng Deng, Mingxia Liu:
Deep Bayesian Quantization for Supervised Neuroimage Search. 396-406 - Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu:
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. 407-416 - Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. 417-426 - Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. 427-436 - Etienne Pochet, Rami Maroun, Roger Trullo:
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification. 437-446 - Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. 447-456 - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Livio Corain, Enrico Grisan:
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images. 457-466 - Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang:
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. 467-475
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