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International Workshop on Machine Learning for Medical Image Reconstruction

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1.Sparse-View CT Reconstruction Using Wasserstein GANs

机译：使用Wassersein Gans的稀疏视图CT重建
- 作者：Franz Thaler;Kerstin Hammernik;Christian Payer;Martin Urschler;Darko Stern
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Computed tomography;
- Sparse-view reconstruction;
- Convolutional neural networks;
- Generative adversarial networks;
- L_1 loss;
2.Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees

机译：检测膝关型负重成像中运动估计的解剖标志
- 作者：Bastian Bier;Katharina Aschoff;Christopher Syben;Mathias Unberath;Marc Levenston;Garry Gold;Rebecca Fahrig;Andreas Maier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
3.Bayesian Deep Learning for Accelerated MR Image Reconstruction

机译：加速MR图像重建的贝叶斯深度学习
- 作者：Jo Schlemper;Daniel C. Castro;Wenjia Bai;Chen Qin;Ozan Oktay;Jinming Duan;Anthony N. Price;Jo Hajnal;Daniel Rueckert
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
4.Deep Learning Based Image Reconstruction for Diffuse Optical Tomography

机译：基于深度学习的弥漫性光学层析的图像重建
- 作者：Hanene Ben Yedder;Aicha BenTaieb;Majid Shokoufi;Amir Zahiremami;Farid Golnaraghi;Ghassan Hamarneh
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Diffuse optical tomography;
- Inverse problem;
- Reconstruction;
- Deep learning;
5.Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks

机译：磁共振指纹通过时空卷积神经网络重建
- 作者：Fabian Balsiger;Amaresha Shridhar Konar;Shivaprasad Chikop;Vimal Chandran;Olivier Scheidegger;Sairam Geethanath;Mauricio Reyes
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Magnetic resonance fingerprinting;
- Parameter mapping;
- Image reconstruction;
- Convolutional neural network;
6.Improved Time-Resolved MRA Using k-Space Deep Learning

机译：使用k空间深度学习改进了时间解决的MRA
- 作者：Eunju Cha;Eung Yeop Kim;Jong Chul Ye
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Dynamic contrast enhanced MRI;
- Parallel imaging;
- Deep learning;
7.ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network

机译：ETET-NET：使用经常性神经网络结束到END MR图像重建
- 作者：Changheun Oh;Dongchan Kim;Jun-Young Chung;Yeji Han;HyunWook Park
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Image reconstruction;
- Neural network;
- End to end;
- RNN;
- AUTOMAP;
- ReNet;
8.Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging

机译：通过变分网络进行实时手持声速成像的图像重建
- 作者：Valery Vishnevskiy;Sergio J. Sanabria;Orcun Goksel
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Deep learning;
- Speed-of-sound;
- Image reconstruction;
9.Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction

机译：近似K空间模型和快速光声重建的深度学习
- 作者：Andreas Hauptmann;Ben Cox;Felix Lucka;Nam Huynh;Marta Betcke;Paul Beard;Simon Arridge
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Learned image reconstruction;
- Photoacoustic tomography;
- Fast fourier methods;
- Compressed sensing;
10.Complex Fully Convolutional Neural Networks for MR Image Reconstruction

机译：用于MR图像重建的复杂全卷积神经网络
- 作者：Muneer Ahmad Dedmari;Sailesh Conjeti;Santiago Estrada;Phillip Ehses;Tony Stocker;Martin Renter
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
11.Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image

机译：来自欠采样的心肌图像的联合运动估计和分割
- 作者：Chen Qin;Wenjia Bai;Jo Schlemper;Steffen E. Petersen;Stefan K. Piechnik;Stefan Neubauer;Daniel Rueckert
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
12.Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging

机译：深度学习超分辨率使得能够快速同步形态和定量磁共振成像
- 作者：Akshay Chaudhari;Zhongnan Fang;Jin Hyung Lee;Garry Gold;Brian Hargreaves
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Super-resolution;
- Quantitative MRI;
- T_2 relaxation;
13.Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks

机译：使用神经网络的一系列稀疏导管路径左侧Atria重建
- 作者：Alon Baram;Moshe Safran;Avi Ben-Cohen;Hayit Greenspan
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Minimally invasive electrophysiology;
- Left atria reconstruction;
- Deep neural network;
14.A U-Nets Cascade for Sparse View Computed Tomography

机译：用于稀疏视图计算断层扫描的U-Nets级联
- 作者：Andreas Kofler;Markus Haltmeier;Christoph Kolbitsch;Marc Kachelriess;Marc Dewey
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Deep learning;
- Convolutional neural networks;
- Data consistency;
- Computed tomography;
- Sparse sampling;
15.High Quality Ultrasonic Multi-line Transmission Through Deep Learning

机译：通过深度学习高质量的超声波多线传输
- 作者：Sanketh Vedula;Ortal Senouf;Grigoriy Zurakhov;Alex Bronstein;Michael Zibulevsky;Oleg Michailovich;Dan Adam;Diana Gaitini
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Ultrasound imaging;
- MLT;
- Deep learning;
16.Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

机译：使用深度学习的重建，心脏MR运动人工制品校正K空间
- 作者：Ilkay Oksuz;James Clough;Aurelien Bustin;Gastao Cruz;Claudia Prieto;Rene Botnar;Daniel Rueckert;Julia A. Schnabel;Andrew P. King
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
- Cardiac MR;
- Image reconstruction;
- Deep learning;
- UK Biobank;
- Image artefacts;
- Image quality;
- Automap;
17.Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions

机译：朝着任意噪声增强 - 从任意概率分布取样的深度学习
- 作者：Felix Horger;Tobias Wurfl;Vincent Christlein;Andreas Maier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2018年
18.Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer

机译：使用循环一致CNN具有明确的PSF层的盲折叠显微镜
- 作者：Sungjun Lim;Jong Chul Ye
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Microscopy;
- Image reconstruction;
- Machine learning;
19.Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy

机译：通过Bilinear汇集图像超分辨率：应用于共聚焦元素的应用
- 作者：Saeed Izadi;Darren Sutton;Ghassan Hamarneh
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
20.Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging

机译：4D腹部和Utero MR成像的自我监督的经常性神经网络
- 作者：Tong Zhang;Laurence H. Jackson;Alena Uus;James R. Clough;Lisa Story;Mary A. Rutherford;Joseph V. Hajnal;Maria Deprez
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
21.Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions

机译：用于改变加速磁共振图像采集的变分网络的联合多解剖训练
- 作者：Patricia M. Johnson;Matthew J. Muckley;Mary Bruno;Erich Kobler;Kerstin Hammernik;Thomas Pock;Florian Knoll
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- MR image reconstruction;
- Variational network;
- Machine learning;
22.Modeling and Analysis Brain Development via Discriminative Dictionary Learning

机译：通过鉴别词典学习建模与分析脑发展
- 作者：Mingli Zhang;Yuhong Guo;Caiming Zhang;Jean-Baptiste Poline;Alan Evans
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
23.PredictUS: A Method to Extend the Resolution-Precision Trade-Off in Quantitative Ultrasound Image Reconstruction

机译：预测：一种在定量超声图像重建中扩展分辨率 - 精度折衷的方法
- 作者：Farah Deeba;Robert Rohling
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Quantitative ultrasound;
- Attenuation coefficient estimate;
- WaveNet;
- Sequence-to-sequence neural network;
24.TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis

机译：TPSDiciCC：改进变形不变跨域医学图像合成
- 作者：Chengjia Wang;Giorgos Papanastasiou;Sotirios Tsaftaris;Guang Yang;Calum Gray;David Newby;Gillian Macnaught;Tom MacGillivray
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
25.Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging

机译：图像修补程序歧管中的图像重建：应用于全胎儿超声成像
- 作者：Alberto Gomez;Veronika Zimmer;Nicolas Toussaint;Robert Wright;James R. Clough;Bishesh Khanal;Milou P. M. van Poppel;Emily Skelton;Jackie Matthews;Julia A. Schnabel
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
26.Stain Style Transfer Using Transitive Adversarial Networks

机译：使用及物反对网络染色风格转移
- 作者：Shaojin Cal;Yuyang Xue;Qinquan Gao;Min Du;Gang Chen;Hejun Zhang;Tong Tong
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Pathological slides;
- Stain transfer;
- Color transfer;
- Generative adversarial networks;
27.Gamma Source Location Learning from Synthetic Multi-pinhole Collimator Data

机译：伽马源地点从合成多针孔准直器数据学习
- 作者：Peter A. von Niederhausern;Carlo Seppi;Simon Pezold;Guillaume Nicolas;Spyridon Gkoumas;Stephan K. Haerle;Philippe C. Cattin
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Sentinel lymph node biopsy;
- Radioguided surgery;
- Inverse problem;
- Machine learning;
- Convolutional neural network;
28.Virtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slice Interval

机译：虚拟薄片：CT片间隔的3D条件基于GaN的超分辨率
- 作者：Akira Kudo;Yoshiro Kitamura;Yuanzhong Li;Satoshi Iizuka;Edgar Simo-Serra
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Deep learning;
- Generative adversarial network;
- Super resolution;
- Computer vision;
- Computed tomography;
29.Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network

机译：用双域生成对抗网络加速MRI重建
- 作者：Guanhua Wang;Enhao Gong;Suchandrima Banerjee;John Pauly;Greg Zaharchuk
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Accelerated MRI reconstruction;
- Generative adversarial network;
- Frequency constraint;
30.Neural Denoising of Ultra-low Dose Mammography

机译：超低剂量乳腺X线摄影神经剥夺
- 作者：Michael Green;Miri Sklair-Levy;Nahum Kiryati;Eli Konen;Arnaldo Mayer
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
31.APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network

机译：APIR-NET：使用神经网络自动互联的并行成像重建
- 作者：Chaoping Zhang;Florian Dubost;Marleen de Bruijne;Stefan Klein;Dirk H. J. Poot
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Magnetic resonance imaging;
- Reconstruction;
- Parallel imaging;
- Neural network;
32.Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network

机译：使用端到端3D卷积神经网络快速动态灌注和血管造影重建
- 作者：Sahar Yousefi;Lydiane Hirschler;Merlijn van der Plas;Mohamed S. Elmahdy;Hessam Sokooti;Matthias Van Osch;Marius Staring
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
33.Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks

机译：用深卷积神经网络测量CT重建质量
- 作者：Mayank Patwari;Ralf Gutjahr;Rainer Raupach;Andreas Maier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Quantum noise;
- Convolutional neural network;
- Computed tomography;
- Image quality;
34.Task-GAN: Improving Generative Adversarial Network for Image Reconstruction

机译：任务-GaN：改进生成对抗图像重建网络
- 作者：Jiahong Ouyang;Guanhua Wang;Enhao Gong;Kevin Chen;John Pauly;Greg Zaharchuk
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
35.Deep Learning Based Metal Inpainting in the Projection Domain: Initial Results

机译：投影域中深入学习的金属染色：初始结果
- 作者：Tristan M. Gottschalk;Bjorn W. Kreher;Holger Kunze;Andreas Maier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Metal artifact reduction;
- X-ray;
- C-arm;
- Inpainting;
36.Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation

机译：使用ML-EM与学习的扩散形式变形的时空宠物重建
- 作者：Ozan Oktem;Camille Pouchol;Olivier Verdier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Emission tomography;
- Motion correction;
- Deep learning;
37.Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior

机译：数据一致的工件减少了有限角质断层扫描，深度学习
- 作者：Yixing Huang;Alexander Preuhs;Gunter Lauritsch;Michael Manhart;Xiaolin Huang;Andreas Maier
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Deep learning;
- Limited angle tomography;
- Data consistency;
- Poisson noise;
- Robustness;
- Generalization ability;
38.Flexible Conditional Image Generation of Missing Data with Learned Mental Maps

机译：灵活的条件图像生成缺失数据与学习的心理贴图
- 作者：Benjamin Hou;Athanasios Vlontzos;Amir Alansary;Daniel Rueckert;Bernhard Kainz
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
39.Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors

机译：基于深度学习的小肿瘤宠物跟踪器摄取量的方法
- 作者：Laura Dal Toso;Elisabeth Pfaehler;Ronald Boellaard;Julia A. Schnabel;Paul K. Marsden
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Convolutional neural network;
- PET;
- Quantification;
- Reconstruction;
40.Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction

机译：Recon-Glgan：用于MRI重建的全球局部上下文的生成对抗网络
- 作者：Balamurali Murugesan;S. Vijaya Raghavan;Kaushik Sarveswaran;Keerthi Ram;Mohanasankar Sivaprakasam
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年
- Magnetic resonance imaging (MRI);
- Reconstruction;
- Global local networks;
- Segmentation;
- Deep learning;
- Generative adversarial networks;
- Cardiac MRI;
41.Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator

机译：深度学习对高场MR：概率抽取模拟器的图像质量转移
- 作者：Hongxiang Lin;Matteo Figini;Ryutaro Tanno;Stefano B. Blumberg;Enrico Kaden;Godwin Ogbole;Biobele J. Brown;Felice DArco;David W. Carmichael;Ikeoluwa Lagunju;Helen J. Cross;Delmiro Fernandez-Reyes;Daniel C. Alexander
- 会议名称：《International Workshop on Machine Learning for Medical Image Reconstruction》 | 2019年