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Attention-guided network for image registration of accelerated cardiac CINE

Author:Aya Ghoul  Kerstin Hammernik  Patrick Krumm  Sergios Gatidis  Thomas Küstner  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1368  

Room Session:701B  

Institution :Technical University of Munich  University Hospital of Tuebingen  Imperial college London  Max Planck Institute for Intelligent Systems  

A transfer learning approach to predict Axon Diameter and g-ratio distributions from MRI Data

Author:Gustavo Chau Loo Kung*  Emmanuelle Weber*  Juliet Knowles  Ankita Batra  Lijun Ni  Jennifer McNab  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1369  

Room Session:701B  

Institution :Stanford University  

SRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data

Author:Jiaxin Xiao  Zihan Li  Berkin Bilgic  Jonathan Polimeni  Susie Huang  Qiyuan Tian  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1370  

Room Session:701B  

Institution :Massachusetts General Hospital  Tsinghua University  Harvard Medical School  

Motion-Aware Neural Networks Improve Rigid Motion Correction of Accelerated Segmented Multislice MRI

Author:Nalini Singh  Malte Hoffmann  Elfar Adalsteinsson  Bruce Fischl  Polina Golland*  Adrian Dalca*  Robert Frost*  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1371  

Room Session:701B  

Institution :Athinoula A. Martinos Center for Biomedical Imaging  MIT  Harvard Medical School  

Can we predict motion artifacts in clinical MRI before the scan completes?

Author:Malte Hoffmann  Nalini Singh  Adrian Dalca  Bruce Fischl  Robert Frost  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1372  

Room Session:701B  

Institution :Harvard Medical School  Massachusetts Institute of Technology  Massachusetts General Hospital  

A Deep Learning Method to Remove Motion Artifacts in Fetal MRI

Author:Adam Lim  Justin Lo  Matthias Wagner  Birgit Ertl-Wagner  Dafna Sussman  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1373  

Room Session:701B  

Institution :The Hospital for Sick Children  Toronto Metropolitan University  Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael’s Hospital  University of Toronto  

Cardiac MR Denoising Inline Neural Network (CaDIN).

Author:Siyeop Yoon  Salah Assana  Manuel Morales  Julia Cirillo  Patrick Pierce  Beth Goddu  Jennifer Rodriguez  Reza Nezafat  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1374  

Room Session:701B  

Institution :Beth Israel Deaconess Medical Center and Harvard Medical School  

Improved Bayesian Brain MR Image Segmentation by Incorporating Subspace-Based Spatial Prior into Deep Neural Networks

Author:Yunpeng Zhang  Huixiang Zhuang  Ziyu Meng  Ruihao Liu  Wen Jin  Wenli Li  Zhi-Pei Liang  Yao Li  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1375  

Room Session:701B  

Institution :Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign  School of Biomedical Engineering, Shanghai Jiao Tong University  Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champai  

A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging

Author:Zhuo Chen  Juan Gao  Xin Tang  Chenxi Hu  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1376  

Room Session:701B  

Institution :The Institute of Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University (SJTU)  

Non-rigid guided affine image registration in multi-contrast brain MRI using deep networks with stochastic depth

Author:Srivathsa Pasumarthi Venkata  Ryan Chamberlain  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1377  

Room Session:701B  

Institution :Subtle Medical Inc  

Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis

Author:Nataliia Molchanova  Vatsal Raina  Francesco La Rosa  Andrey Malinin  Henning Müller  Mark Gales  Cristina Granziera  Mara Graziani  Merirxell Bach Cuadra  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1378  

Room Session:701B  

Institution :Icahn School of Medicine at Mount Sinai  Lausanne University Hospital (CHUV)  Shifts Project  University Hospital Basel  University of Applied Sciences of Western Switzerland  University of Cambridge  IBM Research Europe  University of Lausanne  Universit  

Predicting Gestational Age at Birth in the Context of Preterm Birth Using Comprehensive Fetal MRI Acquisitions

Author:Diego Fajardo-Rojas  Riine Heinsalu  Megan Hall  Mary Rutherford  Joseph Hajnal  Emma Robinson  Lisa Story  Jana Hutter  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1379  

Room Session:701B  

Institution :Guy's and St Thomas' NHS Foundation Trust  King's College London  

Uncertainty maps for training a deep learning model that automatically delineates the skeleton from Whole-Body Diffusion Weighted Imaging

Author:Antonio Candito  Martina Torcè  Richard Holbrey  Alina Dragan  Christina Messiou  Nina Tunariu  Dow-Mu Koh  Matthew D Blackledge  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1380  

Room Session:701B  

Institution :Imperial college London  Mint Medical  The Institute of Cancer Research  

Towards Integrating DL Reconstruction and Diagnosis: Meniscal Anomaly Detection Shows Similar Performance on Reconstructed and Baseline MRI

Author:Natalia Konovalova  Aniket Tolpadi  Felix Liu  Rupsa Bhattacharjee  Felix Gassert  Paula Giesler  Johanna Luitjens  Sharmila Majumdar  Valentina Pedoia  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1381  

Room Session:701B  

Institution :University of California, San Francisco  University of California, Berkeley  

Contrast-agnostic segmentation of the spinal cord using deep learning

Author:Sandrine Bédard  Adrian El Baz  Uzay Macar  Julien Cohen-Adad  

Session Type:Oral  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for Analysis, Post-Processing, Disease Diagnosis & Prediction  

Program Number:1382  

Room Session:701B  

Institution :NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal  Functional Neuroimaging Unit, CRIUGM, University of Montreal  Mila - Quebec AI Institute  Centre de recherche du CHU Sainte-Justine, Université de Montréal