MLMI@MICCAI (2)

Keyphrases

Publications

volume 14349, 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 II MLMI@MICCAI (2) 14349 (2024)

2023

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. MLMI@MICCAI (2) (2023)
Kehao Deng, Bin Wang, Shanshan Ma, Zhong Xue, Xiaohuan Cao
A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. MLMI@MICCAI (2) (2023)
Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim
Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Erkun Yang, Cheng Deng, Mingxia Liu
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) (2023)
Masum Shah Junayed, Sheida Nabavi
A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification. MLMI@MICCAI (2) (2023)
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Kaizhong Zheng, Bin Ma, Badong Chen
DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis. MLMI@MICCAI (2) (2023)
Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath
MoViT: Memorizing Vision Transformers for Medical Image Analysis. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Aniruddha Tamhane, Daniel Dobkin, Ore Shtalrid, Moshe Bouhnik, Erez Posner, Tse'ela Mida
Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Etienne Pochet, Rami Maroun, Roger Trullo
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification. MLMI@MICCAI (2) (2023)
Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao
GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis. MLMI@MICCAI (2) (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
Fact-Checking of AI-Generated Reports. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Ziyu Zhou, Wenyuan Shen, Chang Liu
Consisaug: A Consistency-Based Augmentation for Polyp Detection in Endoscopy Image Analysis. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza
A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. MLMI@MICCAI (2) (2023)
Santiago Posso Murillo, Oscar Skean, Luis G. Sánchez Giraldo
Non-uniform Sampling-Based Breast Cancer Classification. MLMI@MICCAI (2) (2023)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. MLMI@MICCAI (2) (2023)
Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. MLMI@MICCAI (2) (2023)
Yuwen Tan, Xiang Xiang
Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Maximilian Fischer, Peter F. Neher, Peter 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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
Ramona Ghilea, Islem Rekik
Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. MLMI@MICCAI (2) (2023)
Jules Collenne, Rabah Iguernaissi, Séverine Dubuisson, Djamal Merad
Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)
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. MLMI@MICCAI (2) (2023)