Del 11795 i serien Lecture Notes in Computer Science

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Häftad, Engelska, 2019

AvQian Wang,Fausto Milletari,Hien V. Nguyen,Shadi Albarqouni,M. Jorge Cardoso,Nicola Rieke,Ziyue Xu,Konstantinos Kamnitsas,Vishal Patel,Badri Roysam,Steve Jiang,Kevin Zhou,Khoa Luu,Ngan Le

709 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 First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection.

Produktinformation

Utgivningsdatum2019-10-12
Mått155 x 235 x 15 mm
Vikt417 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor254
FörlagSpringer Nature Switzerland AG
ISBN9783030333904

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

DART 2019.- Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation.- Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.- Multi-layer Domain Adaptation for Deep Convolutional Networks.- Intramodality Domain Adaptation using Self Ensembling and Adversarial Training.- Learning Interpretable Disentangled Representations using Adversarial VAEs.- Synthesising Images and Labels Between MR Sequence Types With CycleGAN.- Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.- Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans.- A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.- Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images.- Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases.- Generating Virtual Chromoendoscopic Imagesand Improving Detectability and Classification Performance of Endoscopic Lesions.- MIL3ID 2019.- Self-supervised learning of inverse problem solvers in medical imaging.- Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation.- A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images.- CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.- Active Learning Technique for Multimodal Brain Tumor Segmentation using Limited Labeled Images.- Semi-supervised Learning of Fetal Anatomy from Ultrasound.- Multi-modal segmentation with missing MR sequences using pre-trained fusion networks.- More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation.- Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition.- A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation.- Transfer Learning from Partial Annotations for Whole Brain Segmentation.- Learning to Segment Skin Lesions from Noisy Annotations.- A Weakly Supervised Method for Instance Segmentation of Biological Cells.- Towards Practical Unsupervised Anomaly Detection on Retinal Images.- Fine tuning U-Net for ultrasound image segmentation: which layers.- Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance.

Du kanske också är intresserad av

Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach - Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, Häftad

Del 12969

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach

Häftad, 2021

779 kr

M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro - Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Häftad

Del 10552

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro

Häftad, 2017

709 kr

Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu - Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, Häftad

Del 12444

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu

Häftad, 2020

689 kr

Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang - Domain Adaptation and Representation Transfer, Häftad

Del 14293

Domain Adaptation and Representation Transfer

Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang

Häftad, 2023

799 kr

Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris - Domain Adaptation and Representation Transfer, Häftad

Del 13542

Domain Adaptation and Representation Transfer

Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris

Häftad, 2022

799 kr

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi - Interpretable and Annotation-Efficient Learning for Medical Image Computing, Häftad

Del 12446

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi

Häftad, 2020

709 kr

Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke - Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning, Häftad

Del 16135

Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning

Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke

Häftad, 2025

849 kr

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 - Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, Häftad

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

Häftad, 2023

1 089 kr

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

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, 2022

729 kr

Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, Ziyue Xu - Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, Häftad

Del 12968

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, Ziyue Xu

Häftad, 2021

919 kr

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Du kanske också är intresserad av

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

Domain Adaptation and Representation Transfer

Domain Adaptation and Representation Transfer

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

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

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

Akademibokhandeln

Akademibokhandeln

Hjälp

Hjälp

Utvalt sortiment

Utvalt sortiment

Erbjudanden

Erbjudanden

Inspiration & Tips

Inspiration & Tips