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A 3D convolutional neural network for diagnosing prostate cancer using volumetric T2-weighted MRI.

Author:Pritesh Mehta  Michela Antonelli  Shonit Punwani  Sebastien Ourselin  

Institution:King's College London  King's College London  University College London  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Prostate MRI: Technical Developments  

Program Number:1633  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 25  

Automatic classification of benign and malignant prostate lesions: A comparison using VERDICT DW-MRI and ADC maps

Author:Eleni Chiou  Edward Johnston  Francesco Giganti  Elisenda Bonet-Carne  Shonit Punwani  Iasonas Kokkinos  Eleftheria Panagiotaki  

Institution:University College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Segmentation 2  

Program Number:4815  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 97  

Fat-fraction provides classification and treatment response assessment of metastatic lymph nodes for patients with radio-recurrent prostate cancer

High Repeatability of Quantitative Susceptibility Mapping (QSM) in the Head and Neck With a View to Detecting Hypoxic Cancer Sites

Author:Anita Karsa  Shonit Punwani  Karin Shmueli  

Institution:University College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:14:45  

Session Name:QSM  

Program Number:4939  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 46  

Optimisation of luminal water imaging for classification of prostate cancer

Author:Fiona Gong  William Devine  Francesco Giganti  Edward Johnston  David Atkinson  Shonit Punwani  

Institution:Department of Radiology, University College London Hospital NHS Foundation Trust  University College London  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:08:15  

Session Name:Cancer Perfusion, Diffusion & Relaxometry  

Program Number:2371  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 73  

Whole body 3.0 T MRI in Adult Lymphomas: Assessment of Quantitative Imaging Biomarkers for Nodal Disease Assessment

Whole body 3.0 T MRI in Adult Lymphomas: Assessment of Quantitative Imaging Biomarkers for Nodal Disease Assessment

Whole body MRI in myeloma: Optimising scan acquisition and read times.

Author:Saurabh Singh  Elly Pilavachi  Alexandra Dudek  Timonthy Bray  Arash Latifoltojar  Kannan Rajesparan  Shonit Punwani  Margaret Hall-Craggs  

Institution:Centre of Medical Imaging, University College London  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Bone 2 & MSK Tumors  

Program Number:1376  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 118