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Addressing the need for less MRI sequence dependent DL-based segmentation methods: model generalization to multi-site and multi-scanner data

Author:Yasmina Al Khalil  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: Segmentation, Localization & Registration  

Program Number:3560  

Room Live Q&A Session:

Attention-Based Deep Kidney Segmentation Framework for GFR Prediction

Author:Edgar Rios Piedra  Morteza Mardani  Shreyas Vasanawala  

Institution:Stanford 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:3553  

Room Live Q&A Session:

Attention-based Semantic Segmentation of Thigh Muscle with T1-weighted Magnetic Resonance Imaging

Author:Zihao Tang  Kain Kyle  Michael Barnett  Ché Fornusek  Weidong Cai  Chenyu Wang  

Institution:Sydney Neuroimaging Analysis Centre  University of Sydney  

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:3555  

Room Live Q&A Session:

Automated Segmentation of Late Gadolinium Enhanced CMR with Deep Learning

Author:Daming Shen  Justin Baraboo  Brandon Benefield  Daniel Lee  Michael Markl  Daniel Kim  

Institution:Northwestern University  Northwestern University Feinberg School of Medicine  

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:3559  

Room Live Q&A Session:

Fully automatic three dimensional prostate images registration: from T2-weighted-images to diffusion-weighted images

Author:Rong Wei  Yi Zhu  Xiaoying Wang  Ge Gao  Jue Zhang  

Institution:Peking University  Peking University First 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:3563  

Room Live Q&A Session:

Intelligent Knee MRI slice placement by adapting a generalized deep learning framework

Author:Chitresh Bhushan  Dattesh Shanbhag  Andre Maximo  Arathi Sreekumari  Dawei Gui  Uday Patil  Brandon Pascual  Rakesh Mullick  Teck Beng Desmond Yeo  Thomas Foo  

Institution:GE Global Research  GE Healthcare  

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:3562  

Room Live Q&A Session:

Landmark detection of fetal pose in volumetric MRI via deep reinforcement learning

Author:Molin Zhang  Junshen Xu  Esra Turk  Borjan Gagoski  P. Ellen Grant  Polina Golland  Elfar Adalsteinsson  

Institution:Massachusetts Institute of Technology  Boston Children’s Hospital  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: Segmentation, Localization & Registration  

Program Number:3564  

Room Live Q&A Session:

Model uncertainty for MRI segmentation

Author:Andre Maximo  Chitresh Bhushan  Dattesh Shanbhag  Radhika Madhavan  Desmond Teck Beng yeo  Thomas Foo  

Institution:GE Healthcare  GE Research  

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:3557  

Room Live Q&A Session:

MRI raw k-space mapped directly to outcomes: A study of deep-learning based segmentation and classification tasks

Author:Hariharan Ravishankar  Chitresh Bhushan  Arathi Sreekumari  Dattesh Shanbhag  

Institution:GE Global Research  GE Healthcare  

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:3558  

Room Live Q&A Session:

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:

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 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:

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:

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: