Cross-Scan Mamba with Masked Training for Robust Spectral Imaging
University of Helsinki（赫尔辛基大学）；IMEC（微电子中心）；Universiteit Gent（根特大学）；Northwestern Polytechnical University（西北工业大学）；Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳））
Snapshot Compressive Imaging (SCI) enables fast spectral imaging but requires effective decoding algorithms for hyperspectral image (HSI) reconstruction from compressed measurements. Current CNN-based methods are limited in modeling long-range dependencies, while Transformer-based models face high computational complexity. Although recent Mamba models outperform CNNs and Transformers in RGB tasks concerning computational efficiency or accuracy, they are not specifically optimized to fully leverage the local spatial and spectral correlations inherent in HSIs. To address this, we propose the Cross-Scanning Mamba, named CS-Mamba, that employs a Spatial-Spectral SSM for global-local balanced context encoding and cross-channel interaction promotion. Besides, while current reconstruction algorithms perform increasingly well in simulation scenarios, they exhibit suboptimal performance on real data due to limited generalization capability. During the training process, the model may not capture the inherent features of the images but rather learn the parameters to mitigate specific noise and loss, which may lead to a decline in reconstruction quality when faced with real scenes. To overcome this challenge, we propose a masked training method to enhance the generalization ability of models. Experiment results show that our CS-Mamba achieves state-of-the-art performance and the masked training method can better reconstruct smooth features to improve the visual quality.
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
Imperial College London（伦敦帝国学院）；Royal Brompton Hospital（皇家布朗普顿医院）；Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；University of Cambridge（剑桥大学）
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
Imperial College London（帝国理工学院）；Royal Brompton Hospital（皇家布朗普顿医院）；College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics（南京航空航天大学计算机科学与技术学院）；School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University（中山大学深圳校区生物医学工程学院）；Human Phenome Institute, Fudan University（复旦大学人类表型组研究院）；Inselspital, University of Bern（伯尔尼大学因塞尔医院）；Technical University of Munich（慕尼黑工业大学）
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
University of California, Santa Cruz（加州大学圣克鲁兹分校）；Johns Hopkins University（约翰霍普金斯大学）；Stanford University（斯坦福大学）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；University of Adelaide（阿德莱德大学）
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Nanjing University of Information Science and Technology（南京信息工程大学）；Institute of Optics and Electronics（光学电子研究所）；China University of Geosciences（中国地质大学）；University of Extremadura（埃斯特雷马杜拉大学）
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
Graduate School of Information, Production and Systems, Waseda University（早稻田大学信息、生产与系统研究科）；Key Laboratory of Electromagnetic Waves (EMW) Information, Fudan University（复旦大学电磁波信息重点实验室）；Hong Kong Polytechnic University（香港理工大学）
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification
Nanjing University of Information Science and Technology（南京信息工程大学）；Institute of Optics and Electronics（光学电子研究所）；China University of Geosciences（中国地质大学）；University of Extremadura（埃斯特雷马杜拉大学）
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China（科学技术大学生物医学工程学院）；Suzhou Institute for Advanced Research, University of Science and Technology of China（科学技术大学苏州市先进研究所）；Center for Medical Imaging, Robotics, and Analytic Computing & LEarning (MIRACLE), Suzhou Institute for Advanced Research, USTC（医学影像、机器人与分析计算与学习中心）；Department of Automation, Shanghai Jiao Tong University（上海交通大学自动化系）；Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University（上海交通大学图像处理与模式识别研究所）；Institute of Medical Robotics, Shanghai Jiao Tong University（上海交通大学医学机器人研究所）；State Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China（科学技术大学精密与智能化学国家重点实验室）
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction
School of Basic Medical Science, Fudan University（复旦大学基础医学院）；Academy of Engineering and Technology, Fudan University（复旦大学工程与技术学院）；Shandong Computer Science Center (National Supercomputer Center in Jinan)（山东计算机科学中心（国家济南超级计算中心））
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion
The Hong Kong Polytechnic University（香港理工大学）；University of Science and Technology of China（中国科学技术大学）；Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；Stanford University（斯坦福大学）
Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans
School of Software Engineering, Sun Yat-sen University（中山大学软件工程学院）；School of Microelectronics, Shanghai University（上海大学微电子学院）；Electronic and Computer Engineering, The Hong Kong University of Science and Technology（香港科技大学电子与计算机工程系）；Ruijin Hospital, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属瑞金医院）；Eye & ENT Hospital, Fudan University（复旦大学附属眼耳鼻喉科医院）
Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；DAMO Academy, Alibaba Group（阿里巴巴集团达摩院）；Hupan Laboratory（湖畔实验室）
Tsinghua University（清华大学）；Max Planck Institute for Informatics（马克斯·普朗克信息学研究所）；Shanghai Jiao Tong University（上海交通大学）；The Chinese University of Hong Kong（香港中文大学）；Shenzhen University（深圳大学）；Peng Cheng Laboratory（鹏城实验室）；ETH Zürich（苏黎世联邦理工学院）
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
University of California, Santa Barbara（加利福尼亚大学圣巴巴拉分校）；Columbia University（哥伦比亚大学）；Mortimer B. Zuckerman Mind Brain Behavior Institute（莫蒂默·B·祖克曼脑科学与行为研究所）
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
School of Computer Science and Technology, Zhejiang Gongshang University（浙江工商大学计算机科学与技术学院）；Tongxiang Hospital of Traditional Chinese Medicine（桐乡市中医院）；Prince Sattam Bin Abdulaziz University（萨塔姆·本·阿卜杜勒阿齐兹王子大学）；Qena University（奎纳大学）；Tampere University（坦佩雷大学）；Universidade Federal Fluminense（弗卢米嫩塞联邦大学）；Federal University of Ceara（塞阿拉联邦大学）；Firat University（菲拉特大学）；Systems Research Institute, Polish Academy of Sciences（波兰科学院系统研究所）；AGH University of Krakow（克拉科夫AGH大学）
RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University（重庆大学光电技术及系统教育部重点实验室）；Engineering Research Center of Industrial CT Nondestructive Testing, Ministry of Education, Chongqing University（重庆大学工业CT无损检测教育部工程研究中心）
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
Department of Electronic and Electrical Engineering, Southern University of Science and Technology（电子与电气工程系，南方科技大学）；Peng Cheng Laboratory（鹏城实验室）；Department of Applied Mathematics and Theoretical Physics, University of Cambridge（应用数学与理论物理系，剑桥大学）；State Grid Corporation of China（国家电网公司）；East China Institute of Computing Technology（东部计算技术研究所）；Shenzhen Key Laboratory of Robotics and Computer Vision（深圳机器人与计算机视觉重点实验室）
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
National Key Laboratory of Human-Machine Hybrid Augmented Intelligence（国家人类-机器混合增强智能重点实验室）；National Engineering Research Center for Visual Information and Applications（国家视觉信息与应用工程技术研究中心）；Institute of Artificial Intelligence and Robotics（人工智能与机器人研究院）；School of Computing and Artificial Intelligence（计算与人工智能学院）；School of Electronic and Information Engineering（电子与信息工程学院）
I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
Department of Electrical and Electronics Engineering, and National Magnetic Resonance Research Center, Bilkent University（电子工程系和国家磁共振研究中心，比尔肯特大学）；Department of Electrical Engineering, Stanford University（电气工程系，斯坦福大学）
Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
School of Intelligence Science and Technology, Nanjing University（智能科学与技术学院、南京大学）；School of Electrical and Information Engineering, The University of Sydney（电气与信息工程学院、悉尼大学）
Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
School of Communication and Information Engineering, Shanghai University（上海大学通信与信息工程学院）；College of Electronic Science, Air Force Aviation University（空军航空大学电子科学学院）；Intelligent Visual Information Perception Laboratory, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications（南京邮电大学先进技术研究院智能视觉信息感知实验室）；School of Computer Science and Technology, East China Normal University（华东师范大学计算机科学与技术学院）
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion
University of Science and Technology of China（中国科学技术大学）；Institute of Intelligent Machines（智能机器研究所）；Hefei Institutes of Physical Science, Chinese Academy of Sciences（中国科学院合肥物质科学研究院）；Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines（安徽省智能农业工程实验室，智能机器研究所）
