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Conference on Medical Imaging: Image Processing

召开年：2020
召开地：Houston(US)
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1.Influence of decoder size for binary segmentation tasks in medical imaging

机译：医学成像中二进制分割任务的解码器大小的影响
- 作者：Joost van der Putten;Fons van der Sommen;Peter H.N. de With
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- skin lesions;
- binary segmentation;
- encoder-decoder networks;
- model optimization;
2.Deep learning based CT-CBCT image registration for adaptive radio therapy

机译：基于深度学习的自适应无线电疗法的CT-CBCT图像配准
- 作者：Sven Kuckertz;Nils Papenberg;Jonas Honegger;Tomasz Morgas;Benjamin Haas;Stefan Heldmann
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- deformable image registration;
- deep learning;
- convolutional neural networks;
- multi-modality;
- radio therapy;
- dose accumulation;
3.Attention Multi-Scale Network for Pigment Epithelial Detachment Segmentation in OCT Images

机译：OCT图像中的颜料上皮脱离分割的关注多尺度网络
- 作者：Dengsen Bao;Xuena Cheng;Weifang Zhu;Fei Shi;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
4.Adversarial domain adaptation for multi-device retinal OCT segmentation

机译：多设备视网膜OCT分割的对抗域适应
- 作者：Yufan He;Aaron Carass;Yihao Liu;Shiv Saidha;Peter A. Calabresi;Jerry L. Prince
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- unsupervised domain adaptation;
- OCT;
- deep learning;
- segmentation;
5.An Unsupervised Deep Learning Approach For 4DCT Lung Deformable Image Registration

机译：4DCT肺可变形图像配准的无监督深度学习方法
- 作者：Yabo Fu;Yang Lei;Tonghe Wang;Kristin Higgins;Jeffrey D. Bradley;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- deformable image registration;
- deep learning;
- unsupervised transformation prediction;
6.GANet: Group Attention Network for Diabetic Retinopathy Image Segmentation

机译：Ganet：糖尿病视网膜病变图像分割的群体注意网络
- 作者：Lei Ye;Weifang Zhu;Shuanglang Feng;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Deep Learning;
- Diabetic Retinopathy;
- Segmentation;
- Group Attention Network;
7.Liver Synthetic CT Generation Based on Dense-CycleGAN for MRI- Only Treatment Planning

机译：基于密集加速的肝脏合成CT生成，用于MRI-occe治疗规划
- 作者：Yingzi Liu;Yang Lei;Tonghe Wang;Jun Zhou;Liyong Lin;Tian Liu;Pretesh Patel;Walter J. Curran;Lei Ren;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- MRI-only treatment planning;
- synthetic CT;
- cycle-GAN;
8.Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep Learning

机译：用申请深入学习的功能MRI的解剖数据增强
- 作者：Kevin P. Nguyen;Cherise Chin Fatt;Alex Treacher;Cooper Mellema;Madhukar H. Trivedi;Albeit Montillo
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- data augmentation;
- neuroimaging;
- fMRI;
- depression;
- deep learning;
9.Self-fusion for OCT noise reduction

机译：用于oct降噪的自融合
- 作者：Ipek Oguz;Joseph D. Malone;Yigit Atay;Yuankai K. Tao
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
10.A GICA-TVGL Framework to Study Sex Differences in Resting State fMRI Dynamic Connectivity

机译：GICA-TVGL框架，用于研究休息状态的性别差异FMRI动态连接
- 作者：Biao Cai;Julia M. Stephen;Tony W. Wilson;Vince D. Calhoun;Yu-Ping Wang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Dynamic functional connectivity;
- Resting state fMRI;
- GICA-TVGL framework;
- Sex difference;
11.An Improved U-Net for Nerve Fibre Segmentation in Confocal Corneal Microscopy Images

机译：共焦角膜显微镜图像中神经纤维分段的改进U-Net
- 作者：Xinxin Zhou;Xinjian Chen;Shuanglang Feng;Fei Shi
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- CCM imaging;
- nerve fibre segmentation;
- deep learning;
- MSC block;
- nerve fibre length difference;
12.Multi-label segmentation of bone, muscle and fat in CT volumes via convex relaxation

机译：通过凸弛豫在CT卷中的骨骼，肌肉和脂肪的多标记分割
- 作者：J. A. Perez-Carrasco;B. Acha;C. Serrano
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Image segmentation;
- convex relaxation;
- musculo-skeletal system;
- computed tomography;
- binary distance transform;
- bone;
- muscle;
- fat;
13.Deformable alignment of longitudinal postoperative brain GBM scans using deep learning

机译：使用深度学习的纵向术后脑GBM扫描可变形对准
- 作者：Yi Lao;Victoria Yu;Eric Chang;Wensha Yang;Ke Sheng
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Brain registration;
- Unsupervised deep learning;
- Brain GBM;
- Deep-learning-based registration;
14.Reduction of motion artifacts in head CT exams using multi-scale convolutional neural network

机译：使用多尺度卷积神经网络减少头CT考试中的运动伪影
- 作者：Bin Su;Yanyan Liu;Jianwei Fu;Guotao Quan
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- computed tomography;
- head motion artifacts;
- convolutional neural network;
15.Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

机译：临床成像档案对多器官分割的验证与优化
- 作者：Olivia Tang;Yuchen Xu;Yucheng Tang;Ho Hin Lee;Yunqiang Chen;Dashan Gao;Shizhong Han;Riqiang Gao;Michael R. Savona;Richard G. Abramson;Yuankai Huo;Bennett A. Landman
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- computed tomography;
- deep convolutional neural networks;
- multi-organ segmentation;
- abdomen segmentation;
16.Fully automated segmentation of hyperreflective foci in OCT images using a U-shape network

机译：使用U形网络在OCT图像中完全自动分割过度选择性焦点
- 作者：Liangjiu Zhu;Weifang Zhu;Shuanglang Feng;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Hard exudations;
- hyper-reflective foci;
- U-Net;
- multi-scale convolution;
- channel attention;
17.Segmenting retinal OCT images with inter-B-scan and longitudinal information

机译：分割具有B帧间扫描和纵向信息的视网膜OCT图像
- 作者：Yufan He;Aaron Carass;Yihao Liu;Angeliki Filippatou;Bruno M. Jedynak;Sharon D. Solomon;Shiv Saidha;Peter A. Calabresi;Jerry L. Prince
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Retina;
- OCT;
- Fully convolutional network;
- Longitudinal;
- Conv-LSTM;
18.Detection of Frame Informativeness in Endoscopic Videos using Image Quality and Recurrent Neural Networks

机译：使用图像质量和经常性神经网络检测内窥镜视频帧信息性
- 作者：T.G.W. Boers;J. van der Putten;J. de Groof;M. Struyvenbcrg;K. Fockens;W. Curvers;E. Schoon;F. van der Sommen;J. Bergman;P.H.N. de With
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Computer-Aided Diagnosis;
- Endoscopy;
- Esophageal Cancer;
- Grad-CAM;
- Recurrent Neural Net-works;
- Video Frame Classification;
19.Vessel wall segmentation of common carotid artery via multi-branch light network

机译：血管壁分割通过多分支灯网络常见颈动脉
- 作者：Haochen Tan;Huimin Shi;Mingquan Lin;J. David Spence;Kwok-Leung Chan;Bernard Chiu
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- common carotid artery (CCA);
- 3D ultrasound images;
- light-weight CNN;
- segmentation;
20.Artifact Reduction in Brain Magnetic Resonance Imaging (MRI) by means of a Dense Residual Network with K-space Blending (DRN-KB)

机译：借助于具有K空间混合（DRN-KB）的致密残余网络（DRN-KB）的脑磁共振成像（MRI）的伪影。
- 作者：Junchi Liu;Jie Deng
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- MRI;
- motion artifact;
- deep leaning;
- dense connection;
- residual learning;
- K-space blending;
21.The Improved Reconstruction of Fluorescence Molecular Tomography via Regularized Doubly Orthogonal Matching Pursuit Method

机译：通过规范双正交匹配追踪方法改善荧光分子断层扫描的改进
- 作者：Lingxin Kong;Yu An;Yang Du;Jie Tian
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
22.Multi-Organ Segmentation in Head and Neck MRI Using U-Faster-RCNN

机译：使用U-Faster-RCNN的头部和颈部MRI中的多器官分段
- 作者：Yang Lei;Jun Zhou;Xue Dong;Tonghe Wang;Hui Mao;Mark McDonald;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Multi-organ-at-risk segmentation;
- magnetic resonance imaging;
- 3D Faster R-CNN;
23.Identifying the Common and Subject-specific Functional Units of Speech Movements via a Joint Sparse Non-negative Matrix Factorization Framework

机译：通过联合稀疏非负矩阵分解框架识别语音运动的常见和主题功能单位
- 作者：Jonghye Woo;Fangxu Xing;Jerry L. Prince;Maureen Stone;Timothy G. Reese;Van J. Wedeen;Georges El Fakhri
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Functional Units;
- Speech;
- Tongue Motion;
- MRI;
24.Multi-modality MRI Arbitrary Transformation using Unified Generative Adversarial Networks

机译：使用统一生成的对冲网络多模态MRI任意转换
- 作者：Yang Lei;Yabo Fu;Hui Mao;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
25.Finding novelty with uncertainty

机译：寻找具有不确定性的新奇
- 作者：Jacob C. Reinhold;Yufan He;Shizhong Han;Yunqiang Chen;Dashan Gao;Junghoon Lee;Jerry L. Prince;Aaron Carass
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Unsupervised anomaly segmentation;
- image translation;
- uncertainty quantification;
26.Coronary Artery Calcium Scoring: Can we do Better?

机译：冠状动脉钙得分：我们可以做得更好吗？
- 作者：Sanne G.M. van Velzen;Bob D. de Vos;Helena M. Verkooijen;Tim Leiner;Max A. Viergever;Ivana Isgum
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
27.Multi-Atlas-based Tissue Identification in the Lower Leg using pQCT

机译：使用PQCT基于多标准的组织鉴定
- 作者：Sokratis Makrogiannis;Azubuike Okorie;Taposh Biswas;Luigi Ferrucci
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
28.Super-Resolution Magnetic Resonance Imaging Reconstruction Using Deep Attention Networks

机译：使用深度关注网络的超分辨率磁共振成像重建
- 作者：Xiuxiu He;Yang Lei;Yabo Fu;Hui Mao;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- MRI;
- super-resolution reconstruction;
- deep learning;
- attention gate;
29.Automatic Lung Segmentation in Low-Dose CT Image with Contrastive Attention Module

机译：低剂量CT图像中的自动肺分割，具有对比度模块
- 作者：Changxing Yang;Haihong Tian;Dehui Xiang;Weifang Zhu;Fei Shi;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- automatic lung segmentation;
- contrastive attention map;
- triplet loss;
30.Weakly supervised pancreas segmentation based on class activation maps

机译：基于类激活地图的弱监督胰腺分段
- 作者：Mona Schumacher;Andreas Genz;Mattias Heinrich
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2020年
- Weakly Supervised Learning;
- Segmentation;
- CAM;
31.Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples

机译：无监督超级分辨率：从低分辨率各向异性示例创建高分辨率的医学图像
- 作者：Joerg Sander;Bob D. de Vos;Ivana Isgum
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Image Super-Resolution;
- Autoencoder;
- Latent Space Interpolation;
- Cardiac MRI;
32.Segmentation of retinal detachment and retinoschisis in OCT images based on improved U-shaped network with cross-fusion global feature module

机译：基于改进U形网络的跨融合全球特征模块分割了视网膜脱离和视网膜视网膜isis
- 作者：Changqing Yang;Xinjian Chen;Jinzhu Su;Weifang Zhu;Qiuying Chen;Jiayi Yu;Ying Fan;Fei Shi
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Optical coherence tomography;
- cross-fusion global feature module;
- retinal detachment;
- retinoschisis;
33.Diffusion MRI and Silver Standard Masks to Improve CNN-based Thalamus Segmentation

机译：扩散MRI和银标准掩模改善基于CNN的丘脑分割
- 作者：Pinheiro G. R.;Brusini L.;Bajrami A.;Pizzini F. B.;Calabrese M.;Reis F.;Appenzeller S.;Menegaz G.;Rittner L.
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Thalamus segmentation;
- Diffusion MRI;
- Silver-standard;
- Deep Learning;
34.SANet: A self-adaptive network for hyperreflective foci segmentation in retinal OCT images

机译：SANET：视网膜OCT图像中的超腐蚀性焦点分割的自适应网络
- 作者：Chenpu Yao;Weifang Zhu;Meng Wang;Liangjiu Zhu;Haifan Huang;Haoyu Chen;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Diabetic retinopathy;
- hard exudates;
- hyperreflective foci;
- self-adaptive module;
- dual residual module;
35.COVID-19 Detection Using Image Analysis Methods on CT Images

机译：Covid-19在CT图像上使用图像分析方法检测
- 作者：Mohamed I. Elbakary;Khan M. Iftekharuddin
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- COVID-19 detection;
- CT images;
- lung mask segmentation;
- morphological operators;
- Non-COVID-19 detection;
36.Dynamic palatogram generation from Cine MRI for normalized speech assessment

机译：来自Cine MRI的动态帕洛卡图，用于标准化语音评估
- 作者：Muhan Shao;Aaron Carass;Jiachen Zhuo;Xiao Liang;Dima H. Ghunaim;Maureen L. Stone;Jerry L. Prince
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- cine MRI;
- tongue;
- palate;
- palatogram;
- speech;
37.A Comparison Study of Deep Learning Designs for Improving Low-dose CT Denoising

机译：深度学习设计改善低剂量CT去噪的比较研究
- 作者：Vincent Wang;Alice Wei;Jiaxing Tan;Siming Lu;Weiguo Cao;Yongfeng Gao
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- computed tomography;
- deep learning;
- denoising;
- low-dose;
38.Enhancing Reproductive Organ Segmentation in Pediatric CT via Adversarial Learning

机译：通过对抗性学习增强儿科CT的生殖器官分割
- 作者：Chi Nok Enoch Kan;Taly Gilat-Schmidt;Dong Hye Ye
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Medical Image Segmentation;
- Generative Models;
- Generative Adversarial Networks;
- Organ Segmentation;
39.Chest CBCT-based Synthetic CT using Cycle-consistent Adversarial Network with Histogram Matching

机译：基于胸部CBCT的合成CT，使用循环一致的对抗网络与直方图匹配
- 作者：Richard L.J. Qiu;Yang Lei;Aparna H. Kesarwala;Kristin Higgins;Jeffrey D. Bradley;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
40.Daily Cone-Beam CT Multi-Organ Segmentation for Prostate Adaptive Radiotherapy

机译：前列腺适应放疗的日常锥形梁CT多器官分段
- 作者：Yabo Fu;Yang Lei;Tonghe Wang;Sibo Tian;Pretesh Patel;Ashesh B. Jani;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- CBCT;
- synthetic MRI;
- deep learning;
- prostate adaptive radiotherapy;
41.Automated brainstem parcellation using multi-atlas segmentation and deep neural network

机译：使用多地标分段和深神经网络自动脑干局部
- 作者：Magnus Magnusson;Askcll Love;Lotta M. Ellingsen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- MRI;
- brainstem;
- segmentation;
- labeling;
- dementia;
- Parkinson-plus syndromes;
- convolutional neural network;
42.Towards Cascaded V-Net for Automatic Accurate Kidney Segmentation from Abdominal CT Volumes

机译：朝向腹部CT卷的自动准确肾细分级联V-Net
- 作者：Xiongbiao Luo;Wankang Zeng;Wenkang Fan;Song Zheng;Jianhui Chen;Rong Liu;Zengqin Liu;Yinran Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Kidney 3D segmentation;
- deep learning;
- convolutional neural networks;
- V-Net;
- kidney surgery;
43.Graph Attention Networks for Segment Labeling in Coronary Artery Trees

机译：冠状动脉树中段标记的图注意网络
- 作者：Nils Hampe;Jelmer M. Wolterink;Carlos Collet;Nils Planken
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Artery labeling;
- graph convolutional networks;
- graph attention networks;
- coronary arteries;
- cardiac CT angiography;
44.Reconstruction and refinement of crossing muscle fibers in the human tongue

机译：人舌中交叉肌纤维的重建与改进
- 作者：Muhan Shao;Arnold D. Gomez;Jiachen Zhuo;Xiao Liang;Maureen Stone;Aaron Carass;Jerry L. Prince
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Tongue;
- muscle fibers;
- DWT;
- HARDI;
- QUBO;
45.Floor-of-the-Mouth Muscle Function Analysis Using Dynamic Magnetic Resonance Imaging

机译：使用动态磁共振成像的落地肌功能分析
- 作者：Fangxu Xing;Maureen Stone;Jerry L. Prince;Xiaofeng Liu;Georges El Fakhri;Jonghye Woo
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Tongue function;
- speech;
- floor-of-the-mouth muscles;
- atlas;
- motion;
- MRI;
- tagged;
- correlation;
46.A Pairwise Approach for fMRI Group Studies using the BrainSync Transform

机译：使用Brainsync变换的FMRI组研究的成对方法
- 作者：Anand A. Joshi;Soyoung Choi;Jian Li;Haleh Akrami;Richard M. Leahy
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- fMRI;
- statistical methods;
47.Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertex

机译：使用除目标顶点的多组分混合模型从神经影像数据中表型性状的关联和预测
- 作者：Baptiste Couvy-Duchesne;Futao Zhang;Kathryn E. Kemper;Julia Sidorenko;Naomi R. Wray;Peter M. Visscher;Jian Yang;Olivier Colliot
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
48.SlabGAN: A Method for Generating Efficient 3D Anisotropic Medical Volumes using Generative Adversarial Networks

机译：Slabgan：使用生成对抗性网络产生有效的3D各向异性医学体积的方法
- 作者：Jason L. Granstedr;Varun A. Kelkar;Weimin Zhou;Mark A. Anastasio
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Generative adversarial network;
- GAN;
- image synthesis;
- anisotropic;
- 3D;
- MRI;
- deep learning;
49.Automatic Pancreas Segmentation in Abdominal CT Image with Contrast Enhancement Block

机译：腹部CT图像中的自动胰腺分段与对比增强块
- 作者：Shengxue Pan;Dehui Xiang;Yun Bian;Jianping Lu;Hui Jiang;Jianming Zheng
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- diseased pancreas segmentation;
- contrast enhancement block;
- reverse attention block;
50.Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation

机译：合并3D超分辨率，去噪和部分体积校正，用于经皮烧蚀
- 作者：Mark A. Pinnock;Yipeng Hu;Steve Bandula;Dean C. Barratt
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Super-resolution;
- convolutional neural network;
- computed tomography;
- partial volume effect;
- de-noising;
- interventional radiology;
51.Multi-Organ Segmentation on Head and Neck Dual-energy CT using Deep Neural Networks

机译：使用深神经网络的头部和颈双能CT多器官分割
- 作者：Tonghe Wang;Yang Lei;Mark McDonald;Jonathan J Beitler;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Deep learning;
- dual energy CT;
- segmentation;
- head and neck;
- Mask R-CNN;
52.ProGNet: Prostate Gland Segmentation on MRI with Deep Learning

机译：预测：深入学习MRI的前列腺细分
- 作者：Simon John Christoph Socrcnscn;Richard Fan;Arun Seetharaman;Leo Chen;Wei Shao;Indrani Bhattacharya;Michael Borre;Benjamin Chung;Katherine Too;Geoffrey Sonn;Mirabela Rusu
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Prostate Segmentation;
- Deep Learning;
- Magnetic Resonance Imaging;
- U-Net;
- Holistically-Nested Edge Detector;
53.Drusen segmentation with sparse volumetric SD-OCT sampling

机译：具有稀疏体积SD-OCT采样的德定分段
- 作者：Abum Okemgbo;I. David Rein;Yiyang Wang;Amani Fawzi;Jacob Furst;Daniela Raicu
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Drusen;
- segmentation;
- retinal imaging;
- Age-Related Macular Degeneration;
- spectral-domain optical coherence tomography;
54.Validation of Group-wise Registration for Surface-based Functional MRI Analysis

机译：基于表面的功能MRI分析的组织典型登记验证
- 作者：Chang Yu;Yue Liu;Leon Y. Cai;Cailey I. Kerley;Kaiwen Xu;Warren D. Taylor;Hakmook Kang;Andrea T. Shafer;Lori L. Beason-Held;Susan M. Resnick;Bennett A. Landman;Ilwoo Lyu
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- group-wise registration;
- distortion;
- fMRI;
- rsfMRI;
- group ICA;
55.Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI

机译：学习非偏见的群体登记（LUGR）和联合分割：纵向扩散MRI的评估
- 作者：Bo Li;Wiro J. Niessen;Stefan Klein;M. Arfan Ikram;Meike W. Vernooij;Esther E. Bron
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Unbiased registration;
- segmentation;
- diffusion MRI;
- deep learning;
- longitudinal;
56.Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury

机译：结构连通性和皮质表面特征的联合分析：与轻度创伤性脑损伤相关
- 作者：Cailey I. Kerley;Leon Y. Cai;Chang Yu;Logan M. Crawford;Jason M. Elenberger;Eden S. Singh;Kurt G. Schilling;Katherine S. Aboud;Bennett A. Landman;Tonia S. Rex
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- mild traumatic brain injury;
- independent component analysis;
- connectome;
- cortical surface;
- MRI;
57.Dental microfracture detection using wavelet features and machine learning

机译：使用小波特征和机器学习的牙科微折冲检测
- 作者：Jared Vicory;Ramraj Chandradcvan;Pablo Hernandcz-Cerdan;Wei Angel Huang;Dani Fox;Laith Abu Qdais;Matthew McCormick;Andre Mol;Rick Walters;J.S. Marron;Hassem Geha;Asma Khan;Beatriz Paniagua
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Isotropic wavelets;
- Cracked teeth;
- Deep learning;
58.Longitudinal subcortical segmentation with deep learning

机译：深度学习的纵向细分分割
- 作者：Hao Li;Huahong Zhang;Hans Johnson;Jeffrey D. Long;Jane S. Paulsen;Ipek Oguz
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- MRI;
- Subcortical Segmentation;
- Longitudinal;
- Bi-directional C-LSTM;
- Huntington's Disease;
- Deep Learning;
59.A Novel Unsupervised Learning Model for Diffeomorphic Image Registration

机译：弥漫性图像配准的新型无监督学习模型
- 作者：Yongpei Zhu;Zicong Zhou;Guojun Liao;Kehong Yuan
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
60.TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems

机译：Texturewgan：纹理保存Wgan与Mle常规例证为逆问题
- 作者：Masaki Ikuta;Jun Zhang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
61.Improved CycleGAN with application to COVID-19 classification

机译：利用申请改进了Conscargan-19分类
- 作者：Asaf Bar-El;Dana Cohen;Noa Cahan;Hayit Greenspan
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- COVID-19 Classification;
- Synthetic Data Augmentation;
- Generative Networks;
- CycleGAN;
- Grad-CAM;
62.Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning

机译：使用深度学习的TOF-MRA中自动脑血管提取
- 作者：V. de Vos;K.M. Timmins;I.C. van der Schaaf;Y. Ruigrok;B.K. Velthuis;H.J. Kuijf
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Cercbrovascular diseases;
- Magnetic Resonance Angiography (MRA);
- segmentation;
- deep learning;
- U-Net;
63.Domain Adaptation for Organ Segmentation from Non-Contrast to Contrast Enhanced CT

机译：器官分割从非对比度与对比增强CT的域改编
- 作者：Sidharth Abrol;Sandeep Dutta;Bipul Das;Sanjay NT;Saad Sirohey
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- domain adaptation;
- computed tomography;
- segmentation;
- autoencoder;
- post-processing;
- deep learning;
- contrast enhanced;
- COVID-19;
64.Joint cortical surface and structural connectivity analysis of Alzheimer's Disease

机译：联合皮质表面和阿尔茨海默病的结构连体分析
- 作者：Leon Y. Cai;Cailey I. Kerley;Chang Yu;Katherine S. Aboud;Lori L. Beason-Held;Andrea T. Shafer;Susan M. Resnick;Lori C. Jordan;Adam W. Anderson;Kurt G. Schilling;Ilwoo Lyu;Bennett A. Landman
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
65.Multi-agent shape models for hip landmark detection in MR scans

机译：MR Scans中HIP地标检测的多功能代理形状模型
- 作者：Bekkouch Imad Eddine Ibrahim;Tamerlan Aidinovich;Tomaz Vrtovec;Ramil Kuleev;Bulat Ibragimov
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Landmark Detection;
- Deep Learning;
- medical image processing;
66.Iterative Reconstruction Anti-Correlated ROF model for noise reduction in Dual-Energy CBCT imaging

机译：双能CBCT成像降噪迭代重建反相关ROF模型
- 作者：Luis A. Zavala-Mondragon;Klaus Juergen Engel;Bernd Menser;Danny Ruijters;Peter H.N. de With;Fons van der Sommen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- CBCT;
- CT;
- dual energy;
- ROF;
- total variation;
- iterative reconstruction;
67.Single MR Image Super-Resolution via Mixed Self-Similarity Attention Network

机译：单个MR图像超分辨率通过混合自相似性关注网络
- 作者：Xiaowan Hu;Haoqian Wang;Yi Luo;Zhongzhi Sun;Yanbin Peng
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Magnetic Resonance Image;
- Super-Resolution;
- Self-Similarity;
- Statistical Prior;
68.DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

机译：DC-UNET：用双通道高效CNN重新思考U-Net架构，用于医学图像分割
- 作者：Ange Lou;Shuyue Guan;Murray Loew
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- convolutional neural network;
- MultiResUnet;
- deep learning;
- medical image segmentation;
- computer aided diagnosis;
- DC-UNet;
69.BrainTumorNet: multi-task learning for joint segmentation of high- grade glioma and brain metastases from MR images

机译：Braintumornet：来自MR图像的高级胶质瘤和脑转移的联合分割的多任务学习
- 作者：Satrajit Chakrabarty;Aristeidis Sotiras;Mikhail Milchenko;Pamela LaMontagne;Christopher Abraham;Clifford Robinson;Daniel Marcus
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Deep learning;
- segmentation;
- high grade glioma;
- brain metastasis;
- multi-task learning;
- data scarcity;
- transfer learning;
70.Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy

机译：用于改善自适应放射治疗中的轮廓传播的局部3D视差正则化
- 作者：Durai Arun Pannir Selvam;David I. Laurenson;William H. Nailon;Duncan B. Mclaren
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Adaptive Radiotherapy;
- Contour propagation;
- Block matching;
- Motion vector regularisation;
71.A latent space exploration for microscopic skin lesion augmentations with VQ-VAE-2 and PixelSNAIL

机译：与VQ-VAE-2和PIXELSnail的微观皮肤病变延期潜在空间探索
- 作者：Alessio Gallucci;Nicola Pezzotti;Dmitry Znamenskiy;Milan Petkovic
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- dermatology;
- autoregressive generation;
- skin lesions;
- image generation;
- autoencoders;
72.Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images

机译：来自MR图像腰椎圆盘形状重建卷积神经网络的对抗鲁棒性研究
- 作者：Jiasong Chen;Linchen Qian;Timur Urakov;Weiyong Gu;Liang Liang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- deep neural network;
- adversarial robustness;
- in-distribution;
- out-of-distribution;
- lumbar disk image;
73.Automatic model-based 3-D reconstruction of the teeth from five photographs with predefined viewing directions

机译：基于自动模型的3-D从具有预定观看方向的五个照片的牙齿重建
- 作者：Andreas Wirtz;Florian Jung;Matthias Noll;Anqi Wang;Stefan Wesarg
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
74.Denoising Digital Breast Tomosynthesis Projections using Convolutional Neural Networks

机译：使用卷积神经网络去噪
- 作者：Darlan M. N. de Araujo;Denis H. P. Salvadeo;Davi D. de Paula
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Denoising;
- digital breast tomosynthesis;
- deep learning;
- convolutional neural networks;
75.Co-localization of fluorescent signals using deep learning with Manders overlapping coefficient

机译：使用深层学习与伪造系数的荧光信号共定位
- 作者：Yimeng Dou;Yi-Hua Tsai;Chih-Chieh Liu;Brad A. Hobson;Pamela J. Lein
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
76.Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning

机译：使用图像染色和代表学习的Covid-19感染肺临床CT卷的无监督分割
- 作者：Tong Zheng;Masahiro Oda;Chenglong Wang;Takayasu Moriya;Yuichiro Hayashi;Yoshito Otake;Masahiro Hahsimoto;Toshiaki Akashi;Masaki Mori;Hirotsugu Takabatake;Hiroshi Natori;Kensaku Mori
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- COVID-19;
- unsupervised segmentation;
- image inpainting. representation learning;
77.Deep Segmentation of Abdominal Organs from MRI: off-the-shelf architectures and improvements

机译：来自MRI的腹部器官的深度分割：现成的架构和改进
- 作者：Pedro Furtado
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Segmentation;
- DCNN;
- MRI;
- abdominal organs;
78.Prostate Dose Prediction in HDR Brachytherapy using Unsupervised Multi-Atlas Fusion

机译：使用无监督多地图集融合的HDR近距离放射治疗中的前列腺剂量预测
- 作者：Yang Lei;Yabo Fu;Tonghe Wang;Walter J Curran;Tian Liu;Pretesh Patel;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- HDR brachytherapy;
- deep learning;
- registration network;
- dose distribution;
79.Bias field correction in 3D-MRIs using convolutional autoencoders

机译：使用卷积AutoEncoders的3D-MRIS中的偏置场校正
- 作者：Shashank N. Sridhara;Haleh Akrami;Vaishnavi Krishnamurthy;Anand A. Joshi
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- bias field correction;
- autoencoders. tissue classification;
80.Lung Tumor Segmentation of PET/CT Using Dual Pyramid Mask R-CNN

机译：PET / CT的肺肿瘤分割使用双金字塔面膜R-CNN
- 作者：Tonghe Wang;Yang Lei;Sibo Tian;Tian Liu;Walter J. Curran;Kristin Higgins;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- CT;
- PET;
- segmentation;
- lung;
81.Learning inverse consistent 3D groupwise registration with deforming autoencoders

机译：学习逆一致的3D扩展与变形的autoEncoders
- 作者：Hanna Siebert;Kumar T. Rajamani;Mattias P. Heinrich
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Deformable Template;
- Groupwise Image Registration;
- Deforming Autoencoders;
- Inverse Consistency;
82.Cascaded Multi-Scale Feature Interaction for choroidal atrophy segmentation

机译：Choroidal萎缩分割的级联多尺度特征交互
- 作者：Jiahuan Song;Xinjian Chen;Weifang Zhu
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
83.Assessing the Generalizability of Temporally-Coherent Echocardiography Video Segmentation

机译：评估时间相干超声心动图的普遍性视频分割
- 作者：Yida Chen;Xiaoyan Zhang;Christopher M. Haggerty;Joshua V. Stough
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Echocardiography;
- Segmentation;
- Quantitative Image Analysis;
- Neural Networks;
84.Random Search as a Neural Network Optimization Strategy for Convolutional-Neural-Network (CNN)-based Noise Reduction in CT

机译：随机搜索作为CT的卷积神经网络（CNN）的神经网络优化策略
- 作者：Nathan R. Huber;Andrew D. Missert;Hao Gong;Scott S. Hsieh;Shuai Leng;Lifeng Yu;Cynthia H. McCollough
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Deep learning;
- Noise reduction;
- Hyper-parameter optimization;
- Random search;
85.Deep Learning-based Deformable Image Registration of Inter-fraction CBCT Images for Adaptive Radiation Therapy

机译：基于深度学习的可变形图像登记，用于适应性放射治疗的帧间分数CBCT图像
- 作者：Huiqiao Xie;Yang Lei;Tonghe Wang;Yabo Fu;Xiangyang Tang;Walter J. Curran;Pretesh Patel;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
86.Gland Segmentation in Pancreas Histopathology Images Based on Selective Multi-scale Attention

机译：基于选择性多规模关注的胰腺组织病理学图像中的腺细分
- 作者：Changxing Yang;Dehui Xiang;Yun Bian;Jianping Lu;Hui Jiang;Jianming Zheng
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- pancreatic histopathology image;
- gland segmentation;
- selective multi-scale attention;
87.Evaluation of U-net-based Image Segmentation Model to Digital Mammography

机译：基于U-Net的图像分割模型对数字乳房X线摄影的评估
- 作者：Priscilla Cho;Hong-Jun Yoon
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- U-net;
- fully convolutional networks;
- image segmentation;
- digital mammography;
- computer aided diagnosis;
88.Motion Correction in Dynamic Contrast-Enhanced Magnetic Resonance Images Using Pharmacokinetic Modeling

机译：使用药代动力学建模动态对比度增强磁共振图像中的运动校正
- 作者：Mia Mojica;Mehran Ebrahimi
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- image registration;
- pharmacokinetic modeling;
- Tofts model;
- elastic registration;
89.Style Encoding for Class-Specific Image Generation

机译：类特定图像生成的样式编码
- 作者：Dana Cohen Hochberg;Raja Giryes;Hayit Greenspan
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Generative Adversarial Networks;
- StyleGAN;
- Encoder;
- Synthetic data augmentation;
90.Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach

机译：使用卷积神经网络的体积激光结束体复制的快速组织检测：一种物体检测方法
- 作者：Endi Selmanaj;Fons van der Sommen;Sanne E. Okel;Joost van der Putten;Maarten R. Struyvenberg;Jacques J.G.H.M. Bergman;Peter H.N. de With
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Segmentation;
- Deep learning;
- Barrett's Esophagus;
- Object detection;
91.Metal Artifact Reduction, Intra Cochlear Anatomy Segmentation, and Cochlear Implant Electrodes Localization in CT Images with a Multi- task 3D Network

机译：用多任务3D网络减少金属伪影，局部耳蜗解剖分割，以及CT图像中CT图像的植入植入电极定位
- 作者：Jianing Wang;Yiyuan Zhao;Jack H. Noble;Benoit M. Dawant
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Multi-task Learning;
- Synthesis;
- Segmentation;
- Localization;
- Cochlear Implant;
92.Improving T_(1w) MRI-based brain tumor segmentation using cross-modal distillation

机译：使用跨型蒸馏改善T_（1W）MRI的脑肿瘤分割
- 作者：Masoomeh Rahimpour;Jeroen Bertels;Dirk Vandermeulen;Frederik Maes;Karolien Goffin;Michel Koole
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Brain tumor segmentation;
- Multi-modal MRI;
- Missing data;
- Modality hallucination;
- Knowledge distillation;
93.Automated zone recognition for retinopathy of prematurity using deep neural network with attention mechanism and deep supervision strategy

机译：利用深神经网络与注意机制和深度监督策略使用深层神经网络的自动区识别
- 作者：Yuanyuan Peng;Weifang Zhu;Feng Chen;Xinjian Chen
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
94.Enhancing Z-Resolution in CT Volumes with Deep Residual Learning

机译：增强CT卷中的Z分辨率，具有深度剩余学习
- 作者：Utkarsh Agrawal;Aditya Hegde;Rajesh Langoju;Prasad Sudhakar;Bhushan D Patil;Sundar RK;Imai Yasuhiro;Risa Shigemasa;Omi Yasuo;Bipul Das
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Computed Tomography;
- SSP: slice sensitivity profile;
- Deep Learning;
- Super Resolution;
95.Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset

机译：ACDC挑战数据集在心脏MRI分割应用中的深度学习模型的解释
- 作者：Adrianna Janik;Jonathan Dodd;Georgiana Ifrim;Kris Sankaran;Kathleen Curran
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- explainable ML;
- semantic segmentation;
- deep learning;
96.Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters

机译：使用卷积神经网络使用计算机断层扫描灌注参数来识别梗塞核心
- 作者：Ryan A. Rava;Alexander R. Podgorsak;Muhammad Waqas;Kenneth V. Snyder;Elad I. Levy;Jason M. Davies;Adnan H. Siddiqui;Ciprian N. Ionita
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Computed tomography perfusion;
- convolutional neural network;
- cerebral infarct tissue;
- semantic segmentation;
97.Deep Learning-based 3D Image Generation Using a Single 2D Projection Image

机译：基于深度学习的3D图像生成使用单个2D投影图像
- 作者：Yang Lei;Zhen Tian;Tonghe Wang;Justin Roper;Kristin Higgins;Jeffrey D. Bradley;Walter J. Curran;Tian Liu;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
98.Synthetic CT-based Multi-Organ Segmentation in Cone Beam CT for Adaptive Pancreatic Radiotherapy

机译：基于合成CT基于适应性胰腺放射疗法的锥形CT的多器官分割
- 作者：Xianjin Dai;Yang Lei;James Janopaul-Naylor;Tonghe Wang;Justin Roper;Jun Zhou;Walter J. Curran;Tian Liu;Pretesh Patel;Xiaofeng Yang
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Cone beam CT;
- deep learning;
- segmentation;
- pancreatic radiotherapy;
- adaptive radiotherapy;
99.Improvement of inter-slice resolution based on 2D CNN with thin bone structure-aware on head-and-neck CT images

机译：基于2D CNN与薄骨结构的切片间分辨率的改进 - 感知头颈CT图像
- 作者：Hee Rim Yun;Min Jin Lee;Helen Hong;Kyu Won Shim;Jonghong Jeon
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- Head-and-neck CT images;
- Orbtial bone;
- Thin bone;
- Inter-slice resolution;
- Convolutional neural network;
100.Label Super-Resolution for 3D Magnetic Resonance Images using Deformable U-net

机译：使用可变形U-Net标记3D磁共振图像的超级分辨率
- 作者：Di Liu;Jiang Liu;Yihao Liu;Ran Tao;Jerry L. Prince;Aaron Carass
- 会议名称：《Conference on Medical Imaging: Image Processing》 | 2021年
- label super resolution;
- MRI;
- deformable model;
- deep learning;