Browse All

Current Filters

CLEAR FILTER x

TITLE

Oriented Object Detection Convolutional Neural Network for Automated Prescription of Oblique MRI Acquisitions

Author:Eugene Ozhinsky  Valentina Pedoia  Sharmila Majumdar  

Institution:University of California San Francisco  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3567  

Room Live Q&A Session:

PET Image Denoising Using Structural MRI with a Dilated Convolutional Neural Network

Author:Mario Serrano-Sosa  Christine DeLorenzo  Chuan Huang  

Institution:Stony Brook University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3550  

Room Live Q&A Session:

Predicting T2 Maps from Morphological OAI Images with an ROI-Focused GAN

Author:Bragi Sveinsson  Akshay Chaudhari  Bo Zhu  Neha Koonjoo  Matthew Rosen  

Institution:Massachusetts General Hospital  Stanford University  Harvard Medical School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3549  

Room Live Q&A Session:

Prediction of prostate cancer aggressiveness using open-source machine learning tools for 5-minute prostate MRI: PRODIF CAD 1.0

Author:Harri Merisaari  Pekka Taimen  Otto Ettala  Marko Pesola  Jani Saunavaara  Anant Madabhushi  Peter Boström  Hannu Aronen  Ivan Jambor  

Institution:Case Western Reserve University  Icahn School of Medicine at Mount Sinai  Institute of BioMedicine  Turku University Hospital  University of Turku  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Disease, Diagnosis, Pathology & Treatment  

Program Number:3525  

Room Live Q&A Session:

QSMResGAN - Dipole inversion for quantitative susceptibilitymapping using conditional Generative Adversarial Networks

Author:Francesco Cognolato  Steffen Bollmann  Markus Barth  

Institution:The University of Queensland  Technical University of Munich  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3542  

Room Live Q&A Session:

Quantification of Inter-Muscular Adipose Infiltration in Calf/Thigh MRI using Fully and Weakly Supervised Semantic Segmentation

Author:Rula Amer  Jannette Nassar  David Bendahan  Hayit Greenspan  Noam Ben-Eliezer  

Institution:Aix Marseille University  Tel Aviv University  New York University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3584  

Room Live Q&A Session:

Rapid phase unwrapping with deep learning for shimming applications

Author:Yuhang Shi  

Institution:United Imaging Healthcare  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3579  

Room Live Q&A Session:

Reconstruction of Quantitative Susceptibility Maps from the Phase of Susceptibility-Weighted Images Using a Deep Neural Network

Author:Jun Li  Hongjian He  Yi-Cheng Hsu  Jianhui Zhong  

Institution:Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University  MR Collaboration, Siemens Healthcare Ltd  Department of Imaging Sciences, Unive  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3583  

Room Live Q&A Session:

Region of Interest Localization in Large 3D Medical Volumes by Deep Voting

Author:Marc Fischer  Tobias Hepp  Ulrich Plabst  Bin Yang  Mike Notohamiprodjo  Fritz Schick  

Institution:University Hospital Tübingen  University of Stuttgart  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3520  

Room Live Q&A Session:

Retraining a Deep Learning Model to Detect Cerebral Microbleeds Using Single-Echo Stroke Data

Author:Miller Fawaz  Saifeng Liu  David Utriainen  Sean Sethi  Zhen Wu  E. Mark Haacke  

Institution:Magnetic Resonance Innovations, Inc.  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3565  

Room Live Q&A Session:

Retrofitting a Brain Segmentation Algorithm with Deep Learning Techniques: Validation and Experiments

Author:Punith Venkategowda  Asha Kumaraswamy  Jonas Richiardi  Sanjeev Krishnan Thampi  Tobias Kober  Bénédicte Maréchal  Ricardo Corredor-Jerez  

Institution:Siemens Healthcare AG  Siemens Healthcare Pvt. Ltd.  Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL)  Vidyavardhaka College of Engineering  École Polytechnique Fédérale de Lausanne (EPFL)  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3566  

Room Live Q&A Session:

Segmentation of Contrast Enhancing Brain Tumor Region using a Machine Learning Framework based upon Pre and Post contrast MR Images

Author:Neha Vats  Virendra Yadav  Manish Awasthi  Dinil Sasi  Mamta Gupta  Rakesh Gupta  Anup Singh  

Institution:Fortis Memorial Research Institute  Indian Institute of Technology, Delhi  AIIMS  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3554  

Room Live Q&A Session:

Segmenting Brain Tumor Lesion from 3D FLAIR MR Images using Support Vector Machine approach

Author:Virendra Yadav  Neha Vats  Manish Awasthi  Dinil Sasi  Mamta Gupta  Rakesh Gupta  Sumeet Agarwal  Anup Singh  

Institution:Fortis Memorial Research Institute  Indian Institute of Technology  AIIMS  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3517  

Room Live Q&A Session:

Segmenting Tumour Habitats Using Machine Learning and Saturation Transfer Imaging

Author:Wilfred Lam  Wendy Oakden  Elham Karami  Margaret Koletar  Leedan Murray  Stanley Liu  Ali Sadeghi-Naini  Greg Stanisz  

Institution:Sunnybrook Research Institute  University of Toronto  Sunnybrook Health Sciences Centre  York University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3568  

Room Live Q&A Session:

A Self-Regularized and Over-Determined Deep Network for Cranial Pseudo-CT Generation

Author:Max Law  Oilei Wong  Jing Yuen  S.K. Yu  

Institution:Hong Kong Sanatorium & Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3546  

Room Live Q&A Session:

Simulated CMR images can improve the performance and generalization capability of deep learning-based segmentation algorithms

Author:Yasmina Al Khalil  Sina Amirrajab  Cristian Lorenz  Jürgen Weese  Marcel Breeuwer  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare, MR R&D - Clinical Science  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3519  

Room Live Q&A Session:

Super-Resolution with Conditional-GAN for MR Brain Images

Author:Alessandro Sciarra  Max Dünnwald  Hendrik Mattern  Oliver Speck  Steffen Oeltze-Jafra  

Institution:Otto von Guericke University  Center for Behavioral Brain Sciences (CBBS)  German Center for Neurodegenerative Disease  Leibniz Institute for Neurobiology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3540  

Room Live Q&A Session:

Test-retest repeatability of convolutional neural networks in detecting prostate cancer regions on diffusion weighted imaging in 112 patients

Author:Amogh Hiremath  Rakesh Shiradkar  Harri Merisaari  Prateek Prasanna  Otta Ettala  Pekka Taimen  Hannu Aronen  Peter Boström  Ivan Jambor  Anant Madabhushi  

Institution:Department of Biomedical Engineering, Case Western Reserve University  Department of Diagnostic Radiology, University of Turku and Turku University Hospital  Department of Radiology, Icahn School of Medicine at Mount Sinai  Department of Urology, Universi  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Image Segmentation  

Program Number:3512  

Room Live Q&A Session:

Transfer learning framework for knee plane prescription

Author:Radhika Madhavan  Andre Maximo  Chitresh Bhushan  Soumya Ghose  Dattesh Shanbhag  Uday Patil  Matthew Frick  Kimberly Amrami  Desmond Yeo  Thomas Foo  

Institution:GE Global Research  GE Healthcare  Mayo Clinic  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3575  

Room Live Q&A Session:

A two-stage deep learning method for the identification of rectal cancer lesions in MR images

Author:Jiaxin Li  Cheng Li  Xiran Jiang  Zhenkun Peng  Chaohe Zhang  Qiegen Liu  Shanshan Wang  

Institution:Cancer Hospital of China Medical University  China Medical University  Nanchang University  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Disease, Diagnosis, Pathology & Treatment  

Program Number:3527  

Room Live Q&A Session:

Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net

Author:Dhanunjaya Mitta  Soumick Chatterjee  Oliver Speck  Andreas Nürnberger  

Institution:Otto von Guericke University  Center for Behavioral Sciences  German Center for Neurodegenerative Disease  Leibniz Insitute for Neurobiology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3556  

Room Live Q&A Session:

USR-Net: A Simple Unsupervised Single-Image Super-Resolution Method for Late Gadolinium Enhancement CMR

Author:Jin Zhu  Guang Yang  Tom Wong  Raad Mohiaddin  David Firmin  Jennifer Keegan  Pietro Lio  

Institution:Royal Brompton Hospital  University of Cambridge  Imperial College London  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3537  

Room Live Q&A Session:

Utility of Stockwell Transform variants for local feature extraction from MR images: evidence from multiple sclerosis lesions

Author:Glen Pridham  Olayinka Oladosu  Yunyan Zhang  

Institution:University of Calgary  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Disease, Diagnosis, Pathology & Treatment  

Program Number:3532  

Room Live Q&A Session:

Visualizing intrinsic magnetic resonance imaging (MRI) dataset variations in image-space through Bayesian deep auto-encoding

Author:Andrew Leynes  Abhejit Rajagopal  Valentina Pedoia  Peder Larson  

Institution:University of California San Francisco  University of California Berkeley - University of California San Francisco Joint Graduate Program in Bioengineering  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3548  

Room Live Q&A Session:

Weakly Supervised Exclusion of Non-Tumoral Enhancement in Low Volume Dataset for Breast Tumor Segmentation

Author:Michael Liu  Richard Ha  Yu-Cheng Liu  Tim Duong  Terry Button  Pawas Shukla  Sachin Jambawalikar  

Institution:Columbia University  Stony Brook University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Disease, Diagnosis, Pathology & Treatment  

Program Number:3534  

Room Live Q&A Session:

Whole Knee Cartilage Segmentation using Deep Convolutional Neural Networks for Quantitative 3D UTE Cones Magnetization Transfer  Modeling

Author:Yanping Xue  Hyungseok Jang  Zhenyu Cai  Hoda Shirazian  Mei Wu  Michal Byra  Yajun Ma  Eric Y Chang  Jiang Du  

Institution:University of California, San Diego  VA San Diego Healthcare System  Beijing Chao-Yang Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Segmentation, Localization & Registration  

Program Number:3561  

Room Live Q&A Session:

Whole-brain CBF and BAT mapping in 4 minutes using deep-learning-based, multi-band MR fingerprinting (MRF) ASL

Author:Hongli Fan  Pan Su  Yang Li  Peiying Liu  Jay Pillai  Hanzhang Lu  

Institution:Johns Hopkins School of Medicine  Kennedy Krieger Institute  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: General Applications  

Program Number:3571  

Room Live Q&A Session: