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/