During tumor resection surgery, surgeons rely on neuronavigation to locate tumors and other critical structures in the brain. Most neuronavigation is based on preoperative images, such as MRI and ultrasound, to navigate through the brain. Neuronavigation acts like GPS for the brain, guiding neurosurgeons during the procedure. However, brain shift, a dynamic deformation caused by factors such as osmotic concentration, fluid levels, and tissue resection, can invalidate the preoperative images and introduce registration uncertainty. Considering and effectively visualizing this uncertainty has the potential to help surgeons trust the navigation again. Uncertainty has been studied in various domains since the 19th century. Considering uncertainty requires two essential components: 1) quantifying uncertainty; and 2) conveying the quantified values to the observer. There has been growing interest in both of these research areas during the past few decades.
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching
Center for Imaging Science and Department of Biomedical Engineering, Rochester Institute of Technology（成像科学中心和生物医学工程系，罗切斯特理工学院）；Department of Biomedical Engineering, Vanderbilt University（生物医学工程系，范德比尔特大学）；School of Science and Engineering, University of Missouri – Kansas City（科学与工程学院，密苏里大学-堪萨斯城分校）
SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery
School of Computer Science, The University of Sydney（悉尼大学计算机科学学院）；Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University（上海交通大学生物医学工程学院医学机器人研究所）；Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School（哈佛医学院放射科、布里洛女性医院）
Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS)
Korea University（高丽大学）；Korea Basic Science Institute（韩国基础科学研究院）；Korea Artificial Organ Center（韩国人工器官中心）；ICT Convergence Technology for Health and Safety（健康安全信息通信融合技术）；Department of Electronics and Information Engineering（电子与信息工程系）；Bioimaging Research Team（生物成像研究团队）
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；University of Chinese Academy of Sciences（中国科学院大学）；Shenzhen University（深圳大学）；Renmin University of China（中国人民大学）
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Technische Universität München（慕尼黑工业大学）；Carl Zeiss Meditec（卡尔蔡司医疗技术公司）；Sun Yat-Sen University（中山大学）；Klinikum rechts der Isar der Technische Universität München（慕尼黑工业大学 Rechts der Isar 医院）
Decoding the Surgical Scene: A Scoping Review of Scene Graphs in Surgery
School of Computation, Information and Technology, Technical University of Munich（计算信息学院，慕尼黑技术大学）；Klinik und Poliklinik für Augenheilkunde, TUM University Hospital（眼科诊所，TUM大学医院）；Computer Aided Medical Procedures, Technical University of Munich（医学辅助程序，慕尼黑技术大学）；Department of Biomedical Engineering, University of Alberta（生物医学工程系，阿尔伯塔大学）
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models
Captos Co., Ltd.（Captos株式会社）；Seoreu Co., Ltd.（Seoreu株式会社）；Pusan National University School of Medicine（釜山大学医学院）；Pusan National University Yangsan Hospital（釜山大学梁山医院）；Kyungpook National University（庆北大学）
From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery
Surgical and Interventional Engineering（外科与介入工程）；King’s College London（伦敦国王学院）；National Hospital for Neurology and Neurosurgery（神经外科医院）；NHS（国家健康服务）；Neurosurgery, King’s College Hospital（神经外科，伦敦国王学院医院）；Fondazione IRCCS Ca’ Granda（IRCCS Ca’ Granda基金会）；Ospedale Maggiore di Milano（米兰大医院）
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images
School of Life Science and Technology, Harbin Institute of Technology（生命科学与技术学院，哈尔滨工业大学）；State Key Laboratory of Robotics and System, Harbin Institute of Technology（机器人与系统国家重点实验室，哈尔滨工业大学）
TauGenNet: Plasma-Driven Tau PET Image Synthesis via Text-Guided 3D Diffusion Models
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida（J. Crayton Pruitt家族生物医学工程系，佛罗里达大学）；Department of Radiology & Biomedical Imaging, Yale University（放射学与生物医学成像系，耶鲁大学）；Department of Medicine, University of Florida（医学系，佛罗里达大学）；Banner Alzheimer’s Institute（Banner阿尔茨海默症研究所）
Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images
Department of Computer Science, Georgia State University（计算机科学系，佐治亚州立大学）；Department of Electrical and Computer Engineering, Marquette University（电气与计算机工程系，马基特大学）；Joint Dept. of Biomedical Eng., Marquette Univ. and Med. Coll. of Wisconsin（马基特大学与威斯康星医学院联合生物医学工程系）
Toward Patient-specific Partial Point Cloud to Surface Completion for Pre- to Intra-operative Registration in Image-guided Liver Interventions
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA（成像科学中心，罗切斯特理工学院，罗切斯特，NY 14623, USA）；Biomedical Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA（生物医学工程，罗切斯特理工学院，罗切斯特，NY 14623, USA）
VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China（自动化科学与工程学院，华南理工大学，广州，中国）；Vanderbilt University, Nashville, TN, USA（范德比尔特大学，纳什维尔，田纳西州，美国）；The Pennsylvania State University, University Park, PA , USA（宾夕法尼亚州立大学，大学园，宾夕法尼亚州，美国）；Peking University, Beijing , China（北京大学，北京，中国）；Virginia Commonwealth University, Richmond, VA, USA（弗吉尼亚共同wealth大学，里士满，弗吉尼亚州，美国）；University of California San Diego, San Diego, CA, USA（加州大学圣地亚哥分校，圣地亚哥，加利福尼亚州，美国）
DGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement
Department of Mechanical Engineering（机械工程系）；State Key Laboratory of Tribology in Advanced Equipment（先进设备摩擦学国家重点实验室）；Beijing Key Laboratory of Transformative High-end Manufacturing Equipment and Technology（北京 transformative 高端制造装备与技术重点实验室）；Tsinghua University（清华大学）
Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance
Surgical Artificial Intelligence Laboratory, Massachusetts General Hospital, MA, USA（马萨诸塞州总医院手术人工智能实验室）；Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, MA, USA（麻省理工学院计算机科学与人工智能实验室）；Department of Surgery, Duke University, NC, USA（达特茅斯大学外科系）
