Browse All

Current Filters

CLEAR FILTER x

TITLE

Deblurring of spiral fMRI images using deep learning

Author:Marina Manso Jimeno  John Thomas Vaughan Jr.  Sairam Geethanath  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2414  

Room Session:Concurrent 1  

Institution:Columbia Magnetic Resonance Research Center (CMRRC)  Columbia University  

A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2398  

Room Session:Concurrent 1  

Institution:COMSATS University  

Deep Learning for Automated Segmentation of Brain Nuclei on Quantitative Susceptibility Mapping

Author:Yida Wang  Naying He  Yan Li  Yi Duan  Ewart Mark Haacke  Fuhua Yan  Guang Yang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2403  

Room Session:Concurrent 1  

Institution:East China Normal University, Shanghai Key Laboratory of Magnetic Resonance  Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine  Department of Biomedical Engineering, Wayne State University  

Deep Learning Pathology Detection from Extremely Sparse K-Space Data

Author:Linfang Xiao  Yilong Liu  Zheyuan Yi  Yujiao Zhao  Peiheng Zeng  Alex T.L. Leong  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2410  

Room Session:Concurrent 1  

Institution:Department of Electrical and Electronic Engineering, Southern University of Science and Technology  Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

Deep learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI

Author:Suphachart Leewiwatwong  Junlan Lu  David Mummy  Isabelle Dummer  Kevin Yarnall  Ziyi Wang  Bastiaan Driehuys  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0391  

Room Session:Concurrent 1  

Institution:Duke University  McGill University  

Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI

Author:Alfredo De Goyeneche  Shuyu Tang  Nii Addy  Bob Hu  William Overall  Juan Santos  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0387  

Room Session:Concurrent 1  

Institution:HeartVista, Inc.  

Development of a Deep Learning MRI Phase Unwrapping Technique Using an Exact Unwrap-Rewrap Training Model

Author:Rita Kharboush  Anita Karsa  Barbara Dymerska  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2411  

Room Session:Concurrent 1  

Institution:University College London  

Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network

Author:Jonas Denck  Jens Guehring  Andreas Maier  Eva Rothgang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0395  

Room Session:Concurrent 1  

Institution:Friedrich-Alexander University Erlangen-Nürnberg  Siemens Healthcare  Technical University of Applied Sciences Amberg-Weiden  

A fully automated framework for intracranial vessel wall segmentation based on 3D black-blood MRI

Author:Jiaqi Dou  Hao Liu  Qiang Zhang  Dongye Li  Yuze Li  Dongxiang Xu  Huijun Chen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2406  

Room Session:Concurrent 1  

Institution:Sun Yat-sen University  Tsinghua University  University of Washington  

Fully-Automated Deep Learning-Based Background Phase Error Correction for Abdominopelvic 4D Flow MRI

Author:Sophie You  Evan Masutani  Joy Liau  Marcus Alley  Shreyas Vasanawala  Albert Hsiao  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2413  

Room Session:Concurrent 1  

Institution:Stanford University School of Medicine  University of California, San Diego  

HDnGAN: High-fidelity ultrafast volumetric brain MRI using a hybrid denoising generative adversarial network

Author:Ziyu Li  Qiyuan Tian  Chanon Ngamsombat  Samuel Cartmell  John Conklin  Augusto Lio M. Gonçalves Filho  Wei-Ching Lo  Guangzhi Wang  Kui Ying  Kawin Setsompop  Qiuyun Fan  Berkin Bilgic  Stephen Cauley  Susie Huang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0390  

Room Session:Concurrent 1  

Institution:Massachusetts General Hospital  Siemens Medical Solutions  Stanford University  Tsinghua University  Mahidol University  

Image domain Deep-SLR for Joint Reconstruction-Segmentation of Parallel MRI

Author:Aniket Pramanik  Mathews Jacob  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0393  

Room Session:Concurrent 1  

Institution:The University of Iowa  

Image Registration of Perfusion MRI Using Deep Learning Networks

Author:Zongpai Zhang  Huiyuan Yang  Yanchen Guo  Lijun Yin  David C. Alsop  Weiying Dai  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0396  

Room Session:Concurrent 1  

Institution:Beth Israel Deaconess Medical Center & Harvard Medical School  State University of New York at Binghamton  

Improving ASL MRI Sensitivity for Clinical Applications Using Transfer Learning-based Deep Learning

Author:Danfeng Xie  Yiran Li  Ze Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2412  

Room Session:Concurrent 1  

Institution:University of Maryland School of Medicine  

Interpretability Techniques for Deep Learning based Segmentation Models

Author:Soumick Chatterjee  Arnab Das  Chirag Mandal  Budhaditya Mukhopadhyay  Manish Vipinraj  Aniruddh Shukla  Oliver Speck  Andreas Nürnberger  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2400  

Room Session:Concurrent 1  

Institution:Otto von Guericke University  German Centre for Neurodegenerative Diseases  Center for Behavioral Brain Sciences  Leibniz Institute for Neurobiology  

Learning-based non-linear registration robust to MRI-sequence contrast

Author:Malte Hoffmann  Benjamin Billot  Juan Iglesias  Bruce Fischl  Adrian Dalca  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0392  

Room Session:Concurrent 1  

Institution:Harvard Medical School  University College London  Massachusetts General Hospital  MIT  

MRI denoising using native noise

Author:Sairam Geethanath  Pavan Poojar  Keerthi Sravan Ravi  Godwin Ogbole  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2405  

Room Session:Concurrent 1  

Institution:Columbia University  University College Hospital(UCH) Ibadan  

MRI-Based Response Prediction to Immunotherapy of Late-Stage Melanoma Patients Using Deep Learning

Author:Annika Liebgott  Louisa Fay  Viet Chau Vu  Bin Yang  Sergios Gatidis  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0394  

Room Session:Concurrent 1  

Institution:University Hospital of Tuebingen  University of Stuttgart  

Multidimensional analysis and detection of informative features in diffusion MRI measurements of human white matter

Author:Adam Richie-Halford  Jason Yeatman  Noah Simon  Ariel Rokem  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2397  

Room Session:Concurrent 1  

Institution:Stanford University  University of Washington  

Multi-task Deep Learning for Late-activation Detection of Left Ventricular Myocardium

Author:Jiarui Xing  Sona Ghadimi  Mohammad Abdishektaei  Kenneth Bilchick  Frederick Epstein  Miaomiao Zhang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0389  

Room Session:Concurrent 1  

Institution:University of Virginia  

Multi-task MR imaging with deep learning

Author:Kehan Qi  Yu Gong  Haoyun Liang  Xin Liu  Hairong Zheng  Shanshan Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2415  

Room Session:Concurrent 1  

Institution:Shenzhen Inst. of Advanced Technology  Northeastern University  

PU-NET: A robust phase unwrapping method for magnetic resonance imaging based on deep learning

Author:Hongyu Zhou  Chuanli Cheng  Xin Liu  Hairong Zheng  Chao Zou  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2408  

Room Session:Concurrent 1  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Quantification of Unsuppressed Water Spectrum using Autoencoder with Feature Fusion

Author:Marcia Sahaya Louis  Eduardo Coello  Huijun Liao  Ajay Joshi  Alexander Lin  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2416  

Room Session:Concurrent 1  

Institution:Boston University  Brigham and Women's Hospital  

Self-supervised Cardiac MRI Denoising with Deep Learning

Author:Junshen Xu  Elfar Adalsteinsson  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0388  

Room Session:Concurrent 1  

Institution:Massachusetts Institute of Technology  

Successive Subspace Learning for ALS Disease Classification Using T2-weighted MRI

Author:Xiaofeng Liu  Fangxu Xing  Chao Yang  C.-C. Jay Kuo  Suma Babu  Georges El Fakhri  Thomas Jenkins  Jonghye Woo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2407  

Room Session:Concurrent 1  

Institution:Department of Electrical and Computer Engineering, University of Southern California  Facebook AI  Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School  Sean M Healey & AMG Center for ALS, Department of Neurology, Massachusetts General Hospital, Harvard Medical School  Sheffield Institute for Translational Neuroscience, University of Sheffield  

A Supervised Artificial Neural Network Approach with Standardized Targets for IVIM Maps Computation

Author:Alfonso Mastropietro  Daniele Procissi  Elisa Scalco  Giovanna Rizzo  Nicola Bertolino  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2401  

Room Session:Concurrent 1  

Institution:Consiglio Nazionale delle Ricerche  Northwestern University  

Task Performance or Artifact Reduction? Evaluating the Number of Channels and Dropout based on Signal Detection on a U-Net with SSIM Loss

Author:Rachel Roca  Joshua Herman  Alexandra O'Neill  Sajan Lingala  Angel Pineda  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2402  

Room Session:Concurrent 1  

Institution:Manhattan College  University of Iowa  

Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Signal Detection

Author:Joshua Herman  Rachel Roca  Alexandra O'Neill  Sajan Lingala  Angel Pineda  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2404  

Room Session:Concurrent 1  

Institution:Manhattan College  University of Iowa  

Unsupervised reconstruction based anomaly detection using a Variational Auto Encoder

Author:Soumick Chatterjee  Alessandro Sciarra  Max Dünnwald  Shubham Kumar Agrawal  Pavan Tummala  Disha Setlur  Aman Kalra  Aishwarya Jauhari  Steffen Oeltze-Jafra  Oliver Speck  Andreas Nürnberger  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2399  

Room Session:Concurrent 1  

Institution:Medical Faculty, University Hopspital  Otto von Guericke University  German Centre for Neurodegenerative Diseases  Center for Behavioral Brain Sciences  Leibniz Institute for Neurobiology  

Using uncertainty estimation to increase the robustness of bone marrow segmentation in T1-weighted Dixon MRI for multiple myeloma

Author:Renyang Gu  Michela Antonelli  Pritesh Mehta  Ashik Amlani  Adrian Green  Radhouene Neji  Sebastien Ourselin  Isabel Dregely  Vicky Goh  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2409  

Room Session:Concurrent 1  

Institution:Guy’s and St Thomas’ Hospitals  King's College London  Siemens Healthcare Limited  University College London