Del 13587 - Lecture Notes in Computer Science

Machine Learning for Medical Image Reconstruction

5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Häftad, Engelska, 2022

AvNandinee Haq,Patricia Johnson,Andreas Maier,Chen Qin,Tobias Würfl,Jaejun Yoo,Tobias Wurfl

779 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.The 15 papers presented were carefully reviewed and selected from 19 submissions.

Produktinformation

Utgivningsdatum2022-09-22
Mått155 x 235 x 10 mm
Vikt265 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor157
FörlagSpringer International Publishing AG
ISBN9783031172465

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Informationsteknik: allmänt inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Deep Learning for Magnetic Resonance Imaging.- Rethinking the optimization process for self-supervised model-driven MRI reconstruction.- NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data.- Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations.- High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors.- Metal artifact correction MRI using multi-contrast deep neural networks for diagnosis of degenerative spinal diseases.- Segmentation-Aware MRI Reconstruction.- MRI Reconstruction with Conditional Adversarial Transformers.- Deep Learning for General Image Reconstruction- A Noise-level-aware Framework for PET Image Denoising.- DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction.- Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, and S. Kevin Zhou Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects.- PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction.- Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging.- DPDudoNet: Deep-Prior based Dual-domain Network for Low-dose Computed Tomography Reconstruction.- MTD-GAN: Multi-Task Discriminator based Generative Adversarial Networks for Low-Dose CT Denoising.- Uncertainty-Informed Bayesian PET Image Reconstruction using a Deep Image Prior.

Du kanske också är intresserad av

Del 12450

Machine Learning for Medical Image Reconstruction

Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye, Tobias Wurfl

Häftad

689 kr

Del 16150

Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis

Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu

Häftad

929 kr

Del 12964

Machine Learning for Medical Image Reconstruction

Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo, Tobias Wurfl

Häftad

779 kr

Del 14291

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells

Häftad

909 kr

Del 13563

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Koen van Leemput

Häftad

779 kr

Del 16166

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells

Häftad

819 kr

Del 14393

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

M. Emre Celebi, Md Sirajus Salekin, Hyunwoo Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu, MD Sirajus Salekin

Häftad

1 059 kr

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells

Häftad

819 kr

Del 13593

Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers

Oscar Camara, Esther Puyol-Antón, Chen Qin, Maxime Sermesant, Avan Suinesiaputra, Shuo Wang, Alistair Young, Esther Puyol-Anton

Häftad

1 229 kr

Del 13573

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health

Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu

Häftad

709 kr

Machine Learning for Medical Image Reconstruction

5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Du kanske också är intresserad av

Machine Learning for Medical Image Reconstruction

Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis

Machine Learning for Medical Image Reconstruction

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health

Akademibokhandeln

Akademibokhandeln

Hjälp

Hjälp

Tjänster

Tjänster

Erbjudanden

Erbjudanden

Inspiration

Inspiration