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Conference on Medical Image Understanding and Analysis

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1.Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate Cancer

机译：前列腺癌放疗计划和交付的患者信息虚拟成像
- 作者：Miguel Martinez-Albaladejo;Josep Sule-Suso;David Lines;James Bisson;Simon Jassal;Craig Edwards
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
2.Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets

机译：深度卷积神经网络与蒙特卡罗丢失采样集成用于自动图像分割质量控制和使用小数据集的鲁棒深度学习
- 作者：Evan Hann;Ricardo A. Gonzales;Iulia A. Popescu;Qiang Zhang;Vanessa M. Ferreira;Stefan K. Piechnik
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Automated quality assessment;
- Segmentation;
- Ensemble learning;
- Monte Carlo sampling;
3.Reducing Textural Bias Improves Robustness of Deep Segmentation Models

机译：减少纹理偏差可以提高深度分割模型的鲁棒性
- 作者：Seoin Chai;Daniel Rueckert;Ahmed E. Fetit
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Textural bias;
- Domain shift;
- Robustness;
- Segmentation;
4.Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers

机译：基于扩散图和机器学习分类器的神经退行性帕金森病多巴胺转运体SPECT图像分类
- 作者：Jun-En Ding;Chi-Hsiang Chu;Mong-Na Lo Huang;Chien-Ching Hsu
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
5.D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer

机译：D'OraCa：基于深度学习的口腔病变分类和口腔标志性指南，用于口腔癌的早期检测
- 作者：Jian Han Lim;Chun Shui Tan;Chee Seng Chan;Roshan Alex Welikala;Paolo Remagnino;Senthilmani Rajendran;Thomas George Kallarakkal;Rosnah Binti Zain;Ruwan Duminda Jayasinghe;Jyotsna Rimal;Alexander Ross Kerr;Rahmi Amtha;Karthikeya Patil;Wanninayake Mudiyanselage Tilakaratne;John Gibson;Sok Ching Cheong;Sarah Ann Barman
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning;
- Classification;
- Oral lesions;
- Mouth landmark;
6.Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

机译：医疗保健中保护隐私的分布式深度学习方法的比较
- 作者：Manish Gawali;C. S. Arvind;Shriya Suryavanshi;Harshit Madaan;Ashrika Gaikwad;K. N. Bhanu Prakash;Viraj Kulkarni;Aniruddha Pant
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Privacy-preserving;
- Distributed deep learning;
- Federated learning;
- Split learning;
- SplitFed;
- Medical imaging;
7.An Efficient One-Stage Detector for Real-Time Surgical Tools Detection in Robot-Assisted Surgery

机译：一种用于机器人辅助手术中手术工具实时检测的高效单级检测器
- 作者：Yu Yang;Zijian Zhao;Pan Shi;Sanyuan Hu
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
8.Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning

机译：通过轮廓修剪改进内窥镜成像中的伪影检测
- 作者：Ziang Xu;Sharib AH;Soumya Gupta;Numan Celik;Jens Rittscher
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Endoscopy imaging;
- Artifact detection;
- Deep learning;
- Artifact profile;
9.Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance

机译：心血管磁共振心脏外表现的自动检测
- 作者：Dewraini Hasara Wickremasinghe;Natallia Khenkina;Pier Giorgio Masci;Andrew P. King;Esther Puyol-Anton
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning classification;
- Extra cardiac findings;
- Cardiovascular magnetic resonance;
10.Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning

机译：基于深度学习的三维超声心动图图像在虚拟现实中的自动重定位
- 作者：Lindsay Munroe;Gina Sajith;Ei Lin;Surjava Bhattacharya;Kuberan Pushparajah;John Simpson;Julia A. Schnabel;Gavin Wheeler;Alberto Gomez;Shujie Deng
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- 3D echocardiography;
- Deep learning;
- Virtual reality;
11.Fast Automatic Bone Surface Segmentation in Ultrasound Images Without Machine Learning

机译：无需机器学习的超声图像骨表面快速自动分割
- 作者：Shihfan Jack Tu;Jules Morel;Minsi Chen;Stephen J. Mellon
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Bone segmentation;
- Ultrasound imaging;
- Bone probability map;
12.Pancreas Volumetry in UK Biobank: Comparison of Models and Inference at Scale

机译：英国Biobank的胰腺容量测定：模型比较和规模推断
- 作者：James Owler;Alexandre Triay Bagur;Scott Marriage;Zobair Arya;Paul Aljabar;John McGonigle;Sir Michael Brady;Daniel Bulte
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Pancreas segmentation;
- Deep learning;
- UK Biobank;
13.Towards Linking CNN Decisions with Cancer Signs for Breast Lesion Classification from Ultrasound Images

机译：将CNN的决定与癌症体征联系起来，以便从超声图像中对乳腺病变进行分类
- 作者：Ali Eskandari;Hongbo Du;Alaa AlZoubi
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning visualization;
- Breast cancer;
- Ultrasonography;
- Calcification cancer signs;
- Cancer recognition;
14.MAFIA-CT: MAchine Learning Tool for Image Quality Assessment in Computed Tomography

机译：MAFIA-CT：计算机断层扫描图像质量评估的机器学习工具
- 作者：Thiago V. M. Lima;Silvan Melchior;Ismail OEzden;Egbert Nitzsche;Joerg Binder;Gerd Lutters
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Computed tomography;
- Deep learning;
- Image quality;
15.End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals

机译：端到端深度学习向量自回归预测模型预测不均匀时间间隔的疾病进展
- 作者：Joshua Bridge;Simon Harding;Yalin Zheng
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Prognosis;
- Autoregressive;
- Deep learning;
16.Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection

机译：探索黑色素瘤检测中深度学习与临床特征之间的相关性
- 作者：Tamal Chowdhury;Angad R.S. Bajwa;Tapabrata Chakraborti;Jens Rittscher;Umapada Pal
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
17.Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI

机译：基于图像特征的动态增强MRI前列腺癌检测
- 作者：Liping Wang;Yuanjie Zheng;Andrik Rampun;Reyer Zwiggelaar
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Prostate cancer detection;
- Image-based features;
- DCE MRI;
18.Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability

机译：通过空间注意力和验证定位能力优化膝关节损伤检测
- 作者：Niamh Belton;Ivan Welaratne;Adil Dahlan;Ronan T. Hearne;Misgina Tsighe Hagos;Aonghus Lawlor;Kathleen M. Curran
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning;
- Musculoskeletal;
- Magnetic Resonance Imaging;
- Medical imaging;
- Spatial attention;
- Explainability;
19.Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes

机译：三维肝脏图像衍生表型的大规模单变量回归分析
- 作者：Marjola Thanaj;Nicolas Basty;Yi Liu;Madeleine Cule;Elena P. Sorokin;E. Louise Thomas;Jimmy D. Bell;Brandon Whitcher
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Registration;
- Surface-to-surface;
- Morphology;
- Magnetic resonance imaging;
20.HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion

机译：使用深度双向视网膜和曝光融合生成类HDR图像以减轻不良伤口照明
- 作者：Songlin Hou;Clifford Lindsay;Emmanuel Agu;Peder Pedersen;Bengisu Tulu;Diane Strong
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Image enhancement;
- Wound assessment;
- Deep learning;
- Image segmentation;
21.BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings

机译：BRAIN2DEPTH：用于从EEG记录中分类认知状态的轻量级CNN模型
- 作者：Pankaj Pandey;Krishna Prasad Miyapuram
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- EEG;
- CNN;
- Deep Learning;
- Meditation;
- NeuroFeedback;
- Neural signals;
22.Robust Automatic Montaging of Adaptive Optics Flood Illumination Retinal Images

机译：自适应光学泛光照明视网膜图像的鲁棒自动拼接
- 作者：Eva Valterova;Franziska G. Rauscher;Radim Kolar
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Retina;
- Adaptive optics;
- Flood illumination;
- SIFT;
- Phase correlation;
- Image montaging;
23.Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy

机译：放疗期间非小细胞肺癌患者的放射影像学监测
- 作者：Roushanak Rahmat;David Harris-Birtill;David Finn;Yang Feng;Dean Montgomery;William H. Nailon;Stephen McLaughlin
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Image segmentation;
- Level set;
- Radiomics;
- Radiotherapy;
- Lung cancer;
24.Preface

机译：前言
- 作者：Bartlomiej W. Papiez;Mohammad Yaqub;Jianbo Jiao;Ana I. L. Namburete;J. Alison Noble
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
25.A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic Retinopathy and Cataracts

机译：青光眼、糖尿病视网膜病变和白内障联合检测的计算机视觉方法比较
- 作者：Jarred Orfao;Dustin van der Haar
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Glaucoma;
- Diabetic retinopathy;
- Cataract;
- Computer vision;
- Convolutional neural network;
- Deep learning;
- GLCM;
- HOG;
- CAD;
26.Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic: An EEG Study

机译：脑连接性分析用于区分相位恐惧症和非相位恐惧症：一项脑电图研究
- 作者：Suhita Karmakar;Dipayan Dewan;Lidia Ghosh;Abir Chowdhury;Amit Konar;Atulya K. Nagar
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Brain connectivity;
- Phasmophobia;
- Convergent cross mapping;
- EEG;
- Entropy;
27.Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging

机译：通过放射组学和k空间重建减少选择性运动伪影，以改善脑磁共振成像中血管周围空间的量化
- 作者：Jose Bernal;William Xu;Maria d. C. Valdes-Hernandez;Javier Escudero;Angela C. C. Jochems;Una Clancy;Fergus N. Doubal;Michael S. Stringer;Michael J. Thrippleton;Rhian M. Touyz;Joanna M. Wardlaw
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
28.A Simulation Study to Estimate Optimum LOR Angular Acceptance for the Image Reconstruction with the Total-Body J-PET

机译：全身J-PET图像重建最佳LOR角度接受度估计的仿真研究
- 作者：Meysam Dadgar;Szymon Parzych;Faranak Tayefi Ardebili
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Acceptance angle;
- Total Body J-PET;
- Sensitivity;
- Spatial resolution;
29.Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank

机译：在英国Biobank中，切片到体积的注册实现了胰腺MRI的自动量化
- 作者：Alexandra Triay Bagur;Paul Aljabar;Zobair Arya;John McGonigle;Sir Michael Brady;Daniel Bulte
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Pancreas;
- Multiparametric;
- Magnetic resonance imaging;
- Volume;
- T1;
- Slice-to-volume registration;
- UK biobank;
30.Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow Methods

机译：基于无监督光流方法的立体内窥镜视频密集深度估计
- 作者：Zixin Yang;Richard Simon;Yangming Li;Cristian A. Linte
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Stereo endoscopy;
- Depth estimation;
- Self supervised learning;
- Stereo matching;
- Optical flow;
31.Echocardiographic Image Quality Assessment Using Deep Neural Networks

机译：基于深度神经网络的超声心动图图像质量评估
- 作者：Robert B. Labs;Massoud Zolgharni;Jonathan P. Loo
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Medical imaging;
- Echocardiography;
- Quality assessment;
32.Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images

机译：控制基于深度学习的多参数MR图像前列腺癌检测的假阳性/阴性率
- 作者：Zhe Min;Fernando J. Bianco;Qianye Yang;Rachael Rodell;Wen Yan;Dean Barratt;Yipeng Hu
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Prostate cancer;
- Multi-parametric resonance images;
- Object detection;
- False negative reduction;
33.Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound: Impacts of Training Data Format and Imperfections on Convergence

机译：医学超声声音重建的数据驱动速度：训练数据格式和缺陷对收敛性的影响
- 作者：Farnaz Khun Jush;Peter Michael Dueppenbecker;Andreas Maier
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Speed-of-Sound;
- Deep Neural Network;
- Ultrasound;
34.Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model

机译：使用统计形状模型优化电影MR切片的错位校正
- 作者：Abhirup Banerjee;Ernesto Zacur;Robin P. Choudhury;Vicente Grau
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Cardiac mesh reconstruction;
- Cine MRI;
- Misalignment correction;
- Statistical shape model;
35.Deep Learning-Based Landmark Localisation in the Liver for Couinaud Segmentation

机译：基于深度学习的肝脏标志性定位用于Couinard分割
- 作者：Zobair Arya;Ged Ridgway;Arun Jandor;Paul Aljabar
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning;
- Landmark localisation;
- Heatmap regression;
- Couinaud segmentation;
- Liver segmenation;
- CNN;
36.Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation

机译：光学相干断层扫描血管造影获得的视网膜血管表型的再现性：血管分割的重要性
- 作者：Darwon Rashid;Sophie Cai;Ylenia Giarratano;Calum Gray;Charlene Hamid;Dilraj S. Grewal;Tom MacGillivray;Sharon Fekrat;Cason B. Robbins;Srinath Soundararajan;Justin P. Ma;Miguel O. Bernabeu
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- OCTA imaging;
- Retinal vascular phenotype;
- Reproducibility;
37.Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images

机译：基于深度学习的偏倚转移克服显微图像的实验室差异
- 作者：Ann-Katrin Thebille;Esther Dietrich;Martin Klaus;Lukas Gernhold;Maximilian Lennartz;Christoph Kuppe;Rafael Kramann;Tobias B. Huber;Guido Sauter;Victor G. Puelles;Marina Zimmermann;Stefan Bonn
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- CycleGAN;
- Fixed-Point GAN;
- Domain adaptation;
- HE staining;
- Unsupervised learning;
- Immunofluorescence microscopy;
38.Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI

机译：基于任务引导生成对抗网络的脑MRI年龄估计图像增强
- 作者：Ruizhe Li;Matteo Bastiani;Dorothee Auer;Christian Wagner;Xin Chen
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Generative adversarial network;
- Brain age regression;
- Data augmentation;
39.First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction

机译：基于随机增强策略搜索的单帧显著性预测的早期凝视模式估计
- 作者：Elizaveta Savochkina;Lok Hin Lee;Lior Drukker;Aris T. Papageorghiou;J. Alison Noble
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Fetal ultrasound;
- First trimester;
- Gaze tracking;
- Single frame saliency prediction;
- U-Net;
- Data augmentation;
40.Improving Generalization of ENAS-Based CNN Models for Breast Lesion Classification from Ultrasound Images

机译：基于ENAS的CNN模型在超声图像乳腺病变分类中的推广
- 作者：Mohammed Ahmed;Alaa AlZoubi;Hongbo Du
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- ENAS Ultrasound image;
- Breast lesion classification;
- Deep learning;
- Reduce generalization error;
- Imbalanced dataset;
41.Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data

机译：利用影像学和非影像学ICU数据对心脏肿大进行深度学习分类
- 作者：Declan Grant;Bartlomiej W. Papiez;Guy Parsons;Lionel Tarassenko;Adam Mahdi
- 会议名称：《Conference on Medical Image Understanding and Analysis》 | 2021年
- Deep learning;
- Chest X-ray;
- Cardiomegaly;
- Multimodal approach;