• 【论文合集】2022年12月医学影像期刊论文合集

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    本月IEEE Transactions on Medical Imaging(1区 top if 11.037) 共41篇, 本月无MIA。

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    标题高频词汇

    ('learning', 13), ('imaging', 6), ('image', 6), ('segmentation', 6), ('network', 6), ('deep', 5), ('images', 5), ('medical', 4), ('multiple', 4), ('dynamic', 4), ('mri', 4), ('magnetic', 4), ('ultrasound', 4), ('tissue', 3), ('classification', 3), ('3d', 3), ('instance', 3), ('microscopy', 3), ('particle', 3), ('reconstruction', 3), ('unsupervised', 3), ('representation', 3), ('data', 3), ('matrix', 3)

    由于版权问题，图片摘要仅提供Open Access论文的图片

    TMI 202212论文速递

    1. Multi-Scale Investigation of Human Renal Tissue in Three Dimensions

    人体肾脏组织的三维多尺度研究

    M. Busse;S. Ferstl;M. A. Kimm;L. Hehn;K. Steiger;S. Allner;M. Müller;E. Drecoll;T. Bürkner;M. Dierolf;B. Gleich;W. Weichert;F. Pfeiffer

    原文链接：https://ieeexplore.ieee.org/document/9921310/

    2. GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis

    GraVIS：将来自独立来源的增强视图分组以进行皮肤病学分析

    Hong-Yu Zhou;Chixiang Lu;Liansheng Wang;Yizhou Yu

    原文链接：https://ieeexplore.ieee.org/document/9925193/

    3. A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels

    一种自我监督的 StyleGAN，用于标签极其有限的图像注释和分类

    Dana Cohen Hochberg;Hayit Greenspan;Raja Giryes

    原文链接：https://ieeexplore.ieee.org/document/9810271/

    4. Attention-Assisted Adversarial Model for Cerebrovascular Segmentation in 3D TOF-MRA Volumes

    用于 3D TOF-MRA 体积中脑血管分割的注意力辅助对抗模型

    Ying Chen;Darui Jin;Bin Guo;Xiangzhi Bai

    原文链接：https://ieeexplore.ieee.org/document/9808178/

    5. Su-MICL: Severity-Guided Multiple Instance Curriculum Learning for Histopathology Image Interpretable Classification

    Su-MICL：用于组织病理学图像可解释分类的严重性引导多实例课程学习

    Mei Yang;Zhiying Xie;Zhaoxia Wang;Yun Yuan;Jue Zhang

    原文链接：https://ieeexplore.ieee.org/document/9815125/

    6. Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy

    深度学习驱动的贝塞尔光束多参数光声显微镜

    Yifeng Zhou;Naidi Sun;Song Hu

    原文链接：https://ieeexplore.ieee.org/document/9815293/

    7. Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI

    从不完整数据中学习变分流形：在多层动态 MRI 中的应用

    Qing Zou;Abdul Haseeb Ahmed;Prashant Nagpal;Sarv Priya;Rolf F. Schulte;Mathews Jacob

    原文链接：https://ieeexplore.ieee.org/document/9825710/

    8. TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging

    TranSMS：用于磁粉成像超分辨率校准的变压器

    Alper Güngör;Baris Askin;Damla Alptekin Soydan;Emine Ulku Saritas;Can Barış Top;Tolga Çukur

    原文链接：https://ieeexplore.ieee.org/document/9825706/

    9. DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images

    DLTTA：跨域医学图像测试时间自适应的动态学习率

    Hongzheng Yang;Cheng Chen;Meirui Jiang;Quande Liu;Jianfeng Cao;Pheng Ann Heng;Qi Dou

    原文链接：https://ieeexplore.ieee.org/document/9830762/

    10. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction

    DuDoUFNet：用于同时减少金属伪影和低剂量 CT 重建的双域 Under-to-Fully-Complete 渐进式恢复网络

    Bo Zhou;Xiongchao Chen;Huidong Xie;S. Kevin Zhou;James S. Duncan;Chi Liu

    原文链接：https://ieeexplore.ieee.org/document/9825711/

    11. Vision–Kinematics Interaction for Robotic-Assisted Bronchoscopy Navigation

    用于机器人辅助支气管镜导航的视觉运动学交互

    Yun Gu;Chuanjia Gu;Jie Yang;Jiayuan Sun;Guang-Zhong Yang

    原文链接：https://ieeexplore.ieee.org/document/9830773/

    12. Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast

    组织病理学图像中组织分割的无监督表示学习：从全局到局部对比

    Zeyu Gao;Chang Jia;Yang Li;Xianli Zhang;Bangyang Hong;Jialun Wu;Tieliang Gong;Chunbao Wang;Deyu Meng;Yefeng Zheng;Chen Li

    原文链接：https://ieeexplore.ieee.org/document/9830779/

    13. Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction

    使用体素级生成模型的模拟训练数据改进 3D 神经元重建

    Chao Liu;Deli Wang;Han Zhang;Wei Wu;Wenzhi Sun;Ting Zhao;Nenggan Zheng

    原文链接：https://ieeexplore.ieee.org/document/9829878/

    14. Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution

    深度域迁移学习辅助光声显微镜：从声学分辨率到光学分辨率

    Zhengyuan Zhang;Haoran Jin;Zesheng Zheng;Arunima Sharma;Lipo Wang;Manojit Pramanik;Yuanjin Zheng

    原文链接：https://ieeexplore.ieee.org/document/9832647/

    15. A Benchmark Framework for Multiregion Analysis of Vesselness Filters

    血管过滤器多区域分析的基准框架

    Jonas Lamy;Odyssée Merveille;Bertrand Kerautret;Nicolas Passat

    原文链接：https://ieeexplore.ieee.org/document/9833530/

    16. Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data

    针对不平衡医疗数据的个性化回归弹性联合学习

    Zhen Chen;Chen Yang;Meilu Zhu;Zhe Peng;Yixuan Yuan

    原文链接：https://ieeexplore.ieee.org/document/9832948/

    17. Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate

    为基于连通性的学习调整 Ground Truth实况注释以描绘

    Doruk Oner;Mateusz Koziński;Lenoardo Citraro;Pascal Fua

    原文链接：https://ieeexplore.ieee.org/document/9834968/

    18. Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data

    训练数据有限的 OCTA 血管分割的分离表示学习

    Yihao Liu;Aaron Carass;Lianrui Zuo;Yufan He;Shuo Han;Lorenzo Gregori;Sean Murray;Rohit Mishra;Jianqin Lei;Peter A. Calabresi;Shiv Saidha;Jerry L. Prince

    原文链接：https://ieeexplore.ieee.org/document/9834971/

    19. AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation

    AADG：视网膜图像分割领域泛化的自动增强

    Junyan Lyu;Yiqi Zhang;Yijin Huang;Li Lin;Pujin Cheng;Xiaoying Tang

    原文链接：https://ieeexplore.ieee.org/document/9837077/

    20. Venc Design and Velocity Estimation for Phase Contrast MRI

    相位对比 MRI 的 Venc 设计和速度估计

    Shen Zhao;Rizwan Ahmad;Lee C. Potter

    原文链接：https://ieeexplore.ieee.org/document/9837100/

    21. Gradient-Based Pulsed Excitation and Relaxation Encoding in Magnetic Particle Imaging

    磁粉成像中基于梯度的脉冲激发和弛豫编码

    Guang Jia;Liyu Huang;Ze Wang;Xiaofeng Liang;Yu Zhang;Yifei Zhang;Qiguang Miao;Kai Hu;Tanping Li;Ying Wang;Li Xi;Xin Feng;Hui Hui;Jie Tian

    原文链接：https://ieeexplore.ieee.org/document/9837082/

    22. A Unified Deep Learning Framework for ssTEM Image Restoration

    用于 ssTEM 图像恢复的统一深度学习框架

    Shiyu Deng;Wei Huang;Chang Chen;Xueyang Fu;Zhiwei Xiong

    原文链接：https://ieeexplore.ieee.org/document/9844781/

    23. Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs

    用于低对比度器官 2D/3D 可变形模型配准的图像到图形卷积网络

    Megumi Nakao;Mitsuhiro Nakamura;Tetsuya Matsuda

    原文链接：https://ieeexplore.ieee.org/document/9844010/

    24. A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains

    MRI 接收链中低功率前置放大器动态范围恢复的半盲校准和补偿方法

    Christopher Vassos;Fraser Robb;Shreyas Vasanawala;John Pauly;Greig Scott

    原文链接：https://ieeexplore.ieee.org/document/9847001/

    25. Rapid TAURUS for Relaxation-Based Color Magnetic Particle Imaging

    用于基于弛豫的彩色磁粉成像的快速 TAURUS

    M. Tunç Arslan;A. Alper Özaslan;Semih Kurt;Yavuz Muslu;Emine Ulku Saritas

    原文链接：https://ieeexplore.ieee.org/document/9848825/

    26. Accurately Modeling the Resting Brain Functional Correlations Using Wave Equation With Spatiotemporal Varying Hypergraph Laplacian

    使用波动方程和时空变化超图拉普拉斯算子准确模拟静息脑功能相关性

    Yanjiang Wang;Jichao Ma;Xue Chen;Baodi Liu

    原文链接：https://ieeexplore.ieee.org/document/9849026/

    27. Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

    通过深度约束高斯网络进行无监督组织分割

    Yang Nan;Peng Tang;Guyue Zhang;Caihong Zeng;Zhihong Liu;Zhifan Gao;Heye Zhang;Guang Yang

    原文链接：https://ieeexplore.ieee.org/document/9844771/

    28. Prior Attention Network for Multi-Lesion Segmentation in Medical Images

    用于医学图像中多病灶分割的事先注意网络

    Xiangyu Zhao;Peng Zhang;Fan Song;Chenbin Ma;Guangda Fan;Yangyang Sun;Youdan Feng;Guanglei Zhang

    原文链接：https://ieeexplore.ieee.org/document/9852260/

    29. Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging

    体素内非相干运动磁共振成像中模拟伪扩散率的动态对比增强超声建模

    Dimitre Hristov;Lauri Mustonen;Rie von Eyben;Sebastian Götschel;Michael Minion;Ahmed El Kaffas

    原文链接：https://ieeexplore.ieee.org/document/9852265/

    30. Identify Representative Samples by Conditional Random Field of Cancer Histology Images

    通过癌症组织学图像的条件随机场识别代表性样本

    Yiqing Shen;Dinggang Shen;Jing Ke

    原文链接：https://ieeexplore.ieee.org/document/9855526/

    31. Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction

    用于鲁棒 CT 图像重建的噪声特征建模无监督网络

    Danyang Li;Zhaoying Bian;Sui Li;Ji He;Dong Zeng;Jianhua Ma

    原文链接：https://ieeexplore.ieee.org/document/9852485/

    32. A Novel Low Rank Smooth Flat-Field Correction Algorithm for Hyperspectral Microscopy Imaging

    一种新的高光谱显微成像低阶平滑平场校正算法

    Yukun Wang;Yanfeng Gu;Xiaomei Li

    原文链接：https://ieeexplore.ieee.org/document/9857966/

    33. Automatic Plane of Minimal Hiatal Dimensions Extraction From 3D Female Pelvic Floor Ultrasound

    从 3D 女性骨盆底超声中提取最小裂孔尺寸的自动平面

    Wenyao Xia;Golafsoun Ameri;Djalal Fakim;Humayon Akhuanzada;Malik Z. Raza;S. Abbas Shobeiri;Linda McLean;Elvis C. S. Chen

    原文链接：https://ieeexplore.ieee.org/document/9863685/

    34. Multimodal Triplet Attention Network for Brain Disease Diagnosis

    用于脑部疾病诊断的多模态三元组注意网络

    Qi Zhu;Heyang Wang;Bingliang Xu;Zhiqiang Zhang;Wei Shao;Daoqiang Zhang

    原文链接：https://ieeexplore.ieee.org/document/9857948/

    35. Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths

    没有完全采样 Ground Truth实况的 MRI 合成的半监督学习

    Mahmut Yurt;Onat Dalmaz;Salman Dar;Muzaffer Ozbey;Berk Tınaz;Kader Oguz;Tolga Çukur

    原文链接：https://ieeexplore.ieee.org/document/9857899/

    36. Ultrasound Matrix Imaging—Part I: The Focused Reflection Matrix, the F-Factor and the Role of Multiple Scattering

    超声矩阵成像——第一部分：聚焦反射矩阵、F 因子和多重散射的作用

    William Lambert;Justine Robin;Laura A. Cobus;Mathias Fink;Alexandre Aubry

    原文链接：https://ieeexplore.ieee.org/document/9858894/

    37. Ultrasound Matrix Imaging—Part II: The Distortion Matrix for Aberration Correction Over Multiple Isoplanatic Patches

    超声矩阵成像——第二部分：多个等轴面像差校正的畸变矩阵

    William Lambert;Laura A. Cobus;Justine Robin;Mathias Fink;Alexandre Aubry

    原文链接：https://ieeexplore.ieee.org/document/9858891/

    38. Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images

    组织病理学图像中细胞核实例分类的基于知识的表示学习

    Wenhua Zhang;Jun Zhang;Sen Yang;Xiyue Wang;Wei Yang;Junzhou Huang;Wenping Wang;Xiao Han

    原文链接：https://ieeexplore.ieee.org/document/9869632/

    39. Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

    标签清理多实例学习：在单个整张幻灯片图像上细化粗略注释

    Zhenzhen Wang;Carla Saoud;Sintawat Wangsiricharoen;Aaron W. James;Aleksander S. Popel;Jeremias Sulam

    原文链接：https://ieeexplore.ieee.org/document/9869889/

    40. Retinal Structure Detection in OCTA Image via Voting-Based Multitask Learning

    通过基于投票的多任务学习在 OCTA 图像中检测视网膜结构

    Jinkui Hao;Ting Shen;Xueli Zhu;Yonghuai Liu;Ardhendu Behera;Dan Zhang;Bang Chen;Jiang Liu;Jiong Zhang;Yitian Zhao

    原文链接：https://ieeexplore.ieee.org/document/9870738/

    41. Patient-by-Patient Deep Transfer Learning for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived Tumor-Cell Spheroids

    使用儿科患者来源的肿瘤细胞球体的共聚焦荧光显微镜进行药物反应分析的逐个患者深度迁移学习

    Yannick Berker;Dina ElHarouni;Heike Peterziel;Petra Fiesel;Olaf Witt;Ina Oehme;Matthias Schlesner;Sina Oppermann

    原文链接：https://ieeexplore.ieee.org/document/9889243/

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  • 原文地址：https://blog.csdn.net/sukeee/article/details/128184389