Liver-vessel segmentation is an essential task in the pre-operative planning of liver resection. State-of-the-art 2D or 3D convolution-based methods focusing on liver vessel segmentation on 2D CT cross-sectional views, which do not take into account the global liver-vessel topology. To maintain this global vessel topology, we rely on the underlying physics used in the CT reconstruction process, and apply this to liver-vessel segmentation. Concretely, we introduce the concept of top-k maximum intensity projections, which mimics the CT reconstruction by replacing the integral along each projection direction, with keeping the top-k maxima along each projection direction. We use these top-k maximum projections to condition a diffusion model and generate 3D liver-vessel trees. We evaluate our 3D liver-vessel segmentation on the 3D-ircadb-01 dataset, and achieve the highest Dice coefficient, intersection-over-union (IoU), and Sensitivity scores compared to prior work.
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
Zhejiang University（浙江大学）；Stevens Institute of Technology（斯蒂文斯理工学院）；Zhejiang Lab（之江实验室）；Zhejiang University of Technology（浙江工业大学）；Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies（阿里巴巴-浙江大学前沿技术联合研究中心）
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessor
China University of Petroleum（中国石油大学）；Qingdao Municipal Hospital（青岛市市立医院）；University of Chinese Academy of Sciences（中国科学院大学）
Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
LaTIM UMR 1101（拉蒂姆UMR 1101机构）；Inserm（法国国家健康与医学研究院）；University of Western Brittany（西布列塔尼大学）；University Hospital of Brest（布雷斯特大学医院）；University Hospital of Poitiers（普瓦捷大学医院）；ICube UMR 7357（ICube UMR 7357机构）；CNRS（法国国家科学研究中心）；IMT Atlantique（大西洋电信学院）
TempDiffReg: Temporal Diffusion Model for Non-Rigid 2D-3D Vascular Registration
School of Computer Science and Engineering, Beihang University, Beijing, China（北京航空航天大学计算机科学与工程学院）；State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China（北京航空航天大学虚拟现实技术与系统国家重点实验室）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China（中国科学院深圳先进技术研究所）；School of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen, China（深圳先进技术大学计算机科学与控制工程学院）；Department of Interventional Radiology, Shenzhen People’s Hospital, Shenzhen, China（深圳人民医院介入放射科）
VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
Department of Radiology, Dokuz Eylul University（多尔朱·伊勒大学放射科）；Department of Computer Engineering, Istanbul Technical University（伊斯坦布尔技术大学计算机工程系）；Institute of Natural and Applied Sciences, Dokuz Eylul University（多尔朱·伊勒大学自然科学与应用科学学院）；Department of Electrical and Electronics Engineering, Dokuz Eylul University（多尔朱·伊勒大学电气与电子工程系）；Department of Radiology, University of Wisconsin-Madison（威斯康星大学麦迪逊分校放射科）；School of Medicine, Sivas Cumhuriyet University（萨瓦斯·库尔德大学医学院）；School of Medicine, Acibadem Mehmet Ali Aydinlar University（阿克塞姆·梅赫梅特·阿里·阿迪姆大学医学院）；Department of Artificial Intelligence Engineering, Bahçeşehir University（巴切希尔大学人工智能工程系）；Faculty of Pharmacy, Sivas Cumhuriyet University（萨瓦斯·库尔德大学药学院）
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling
Imaging technology center, Fujifilm corporation（富士胶片株式会社影像技术中心）；Center for Artificial Intelligence Research, University of Tsukuba（筑波大学人工智能研究中心）；Department of Computer science and engineering, Waseda university（早稻田大学计算机科学与工程系）
MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort
Multimodal Registration of Retinal Images Using Domain-Specific Landmarks and Vessel Enhancement
CITIC-Research Center of Information and Communication Technologies, University of A Coruña（科蒂克信息与通信技术研究中心，拉科鲁尼亚大学）；Department of Computer Science, University of A Coruña（拉科鲁尼亚大学计算机科学系）；University of A Coruña（拉科鲁尼亚大学）；CITIC-Research Center of Information and Communication Technologies（科蒂克信息与通信技术研究中心）
Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework
School of Information Science & Engineering, Shandong Normal University（信息科学与工程学院，山东师范大学）；Tajik State University of Law, Business and Politics（塔吉克国立法律、商业与政治大学）
Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation
LaTIM UMR 1101, Inserm（法国国家健康与医学研究院LaTIM UMR 1101研究所）；University of Western Brittany（西布列塔尼大学）；University Hospital of Brest（布雷斯特大学医院）；University Hospital of Poitiers（普瓦捷大学医院）；ICube UMR 7357, CNRS（法国国家科学研究中心ICube UMR 7357研究所）；IMT Atlantique（大西洋电信学院）
VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes
Department of Computer Science, Vanderbilt University（计算机科学系，范德比尔特大学）；Digital Technology and Innovation, Siemens Healthineers（数字技术与创新，西门子医疗）；Department of Biomedical Engineering, Vanderbilt University（生物医学工程系，范德比尔特大学）
VesselSim: learning 3D blood vessel segmentation without expert annotations
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada（计算机科学与软件工程系，康科迪亚大学，蒙特利尔，加拿大）；Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada（电气与计算机工程系，康科迪亚大学，蒙特利尔，加拿大）
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Yale University（耶鲁大学）；Yale School of Medicine（耶鲁大学医学院）；University of Science and Technology of China（中国科学技术大学）；Suzhou Institute for Advanced Research, University of Science and Technology of China（中国科学技术大学苏州高等研究院）；Chinese Academy of Sciences（中国科学院）
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
Advanced Technology Development Centre（先进技术发展中心）；Department of Computer Science and Engineering（计算机科学与工程系）；Department of Electrical Engineering（电气工程系）；Indian Institute of Technology Kharagpur（印度理工学院卡哈拉格普尔分校）；India（印度（注：根据上下文，此处“India”为国家，非机构，原数据可能存在格式问题，按要求不提取国家信息，但按输出要求保留英文机构名））
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study
The Second Hospital of Shandong University, Shandong University（山东大学第二医院，山东大学）；Shenzhen Third People’s Hospital, the Second Affiliated Hospital of Southern University of Science and Technology（深圳市第三人民医院，南方科技大学第二附属医院）；The First Affiliated Hospital of Hainan Medical University（海南医科大学第一附属医院）；Wuhan Asia General Hospital（武汉亚洲总医院）；Shanxi Medical University（山西医科大学）；Chengdu First People’s Hospital（成都市第一人民医院）；Keck School of Medicine, University of Southern California（南加州大学凯克医学院）；Shandong Provincial Hospital Affiliated to Shandong First Medical University（山东第一医科大学附属山东省立医院）
BreastSegNet: Multi-label Segmentation of Breast MRI
Department of Biostatistics \& Bioinformatics, Duke University Department of Electrical；Computer Engineering, Duke University Department of Radiology, Duke University Medical Center Department of Computer Science, Duke University
Scaling up fine-grained intracranial vessel annotations in computed tomography angiography
Brigham and Women’s Hospital Harvard Medical School（哈佛医学院布莱尔妇女医院）；Khoury College of Computer Sciences Northeastern University（东北大学计算机科学学院）；Washington University in St. Louis（圣路易斯华盛顿大学）；Dana-Farber Cancer Institute Harvard Medical School（哈佛医学院丹娜-法伯癌症研究院）
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
Department of Computer Science, COMSATS University Islambad, Lahore Campus, Pakistan（计算机科学系，卡姆斯大学伊斯法罕，拉合尔校区，巴基斯坦）；Hamad Medical Corporation, Qatar（卡塔尔哈马姆医疗集团）；University of Stirling, UK（斯特林大学，英国）
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation
Southern University of Science and Technology（南方科技大学）；The University of Hong Kong（香港大学）；Jiaxing Research Institute, Southern University of Science and Technology（南方科技大学嘉兴研究院）
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
University of Groningen, University Medical Center Groningen（格罗宁根大学医学中心）；Tianjin Medical University Cancer Institute and Hospital（天津医科大学肿瘤医院）；University of Twente（特温特大学）
Coronary Artery Segmentation and Vessel-Type Classification in X-Ray Angiography
School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran（计算机科学学院，基础科学研究所（IPM），德黑兰，伊朗）；Department of Physics, Shahid Beheshti University, Tehran, Iran（物理系，肖德·贝赫什提大学，德黑兰，伊朗）；Brain Mapping Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran（脑图谱研究中心，肖德·贝赫什提医学科学大学，德黑兰，伊朗）；Gilan University of Medical Sciences, Rasht, Gilan, Iran（加利良医学科学大学，拉什特，加利良，伊朗）；Department of Physics, Simon Fraser University, Burnaby, Canada（物理系，西蒙·弗雷泽大学，本比，加拿大）；Fatemeh Zahra Hospital, Alborz University of Medical Sciences, Eshtehard, Iran（法特梅·扎拉医院，阿尔博兹医学科学大学，埃什泰尔德，伊朗）；Rajaie Cardiovascular Medical and Research Institute, Iran University of Medical Sciences, Tehran, Iran（拉贾伊心血管医学与研究学院，伊朗医学科学大学，德黑兰，伊朗）
