Medical Image Registration

International Challenge, Learn2Reg 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27–October 4, 2025, Proceedings

AvJunyu Chen,Aaron Carass

Häftad, Engelska, 2026

Del 16254 i serien Lecture Notes in Computer Science

1 115 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the refereed proceedings of the International Challenge on Medical Image Registration, Learn2Reg 2025, held in conjunction with MICCAI 2025, which took place in Daejeon, South Korea, during September 27–October 4, 2025.The 11 full papers presented in the proceedings were carefully selected and reviewed from 38 submissions. The papers cover two principle sub-tasks: ReMIND2Reg and LUMIR.

Produktinformation

Utgivningsdatum:2026-07-10
Mått:155 x 235 x 8 mm
Vikt:170 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:89
Förlag:Springer Nature Switzerland AG
ISBN:9783032251688

Utforska kategorier

Innehållsförteckning

.- ReMIND2Reg..- Unsupervised MR-US Multimodal Image Registration with Multilevel Correlation Pyramidal Optimization..- In Gradients We Trust: NGF-Driven Registration for ReMIND 2025..- Gabor-Based Neighborhood Descriptor for MRI–iUS Brain Image Registration..- LUMIR..- Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)..- Strategies for Robust Deep Learning Based De formable Registration..- Unleashing the power of intensity augmentation for multi-modal image registration..- Adapting Frozen Mono-modal Backbones for Multi modal Registration via Contrast-Agnostic Instance Optimization..- Generalizable Learning-based Image Registration via Self-Supervised Multi-modal Representation Learning from Single-modal Data..- Swin-CNN Hybrid Framework for Enhanced De formable Image Registration..- Efficient Unsupervised Multimodal Brain MR Image Registration with Encoder-only Network.

Du kanske också är intresserad av

Medical Image Registration

Reuben Dorent, Mattias Heinrich, Aaron Carass, Junyu Chen

E-bok

2026

1 348 kr

Del 13166

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis

Marc Aubreville, David Zimmerer, Mattias Heinrich

Häftad, 2022

629 kr

Del 13386

Biomedical Image Registration

Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert

Häftad, 2022

753 kr

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis

Mattias Heinrich, David Zimmerer, Marc Aubreville

E-bok

2022

821 kr

Biomedical Image Registration

Daniel Rueckert, Mattias Heinrich, Enzo Ferrante, Miaomiao Zhang, Julia Schnabel, Alessa Hering

E-bok

2022

957 kr

Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent - Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Häftad

Del 13769

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent

Häftad, 2023

798 kr

Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation

Alessandro Crimi, Spyridon Bakas, Navodini Wijethilake, Ruisheng Su, Monika Pytlarz, Sylwia Malec, Reuben Dorent, Ujjwal Baid

E-bok

2024

1 255 kr

Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi - Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, Häftad

Del 14669

Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation

Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi

Häftad, 2024

1 024 kr

Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi - Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Häftad

Del 14668

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi

Häftad, 2024

629 kr

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Alessandro Crimi, Spyridon Bakas, Navodini Wijethilake, Ruisheng Su, Monika Pytlarz, Sylwia Malec, Reuben Dorent, Ujjwal Baid

E-bok

2024

797 kr

Medical Image Registration

International Challenge, Learn2Reg 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27–October 4, 2025, Proceedings

AvJunyu Chen,Aaron Carass

Häftad, Engelska, 2026

Del 16254 i serien Lecture Notes in Computer Science

1 115 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2026-07-10
Mått:155 x 235 x 8 mm
Vikt:170 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:89
Förlag:Springer Nature Switzerland AG
ISBN:9783032251688

Utforska kategorier

Innehållsförteckning

.- ReMIND2Reg..- Unsupervised MR-US Multimodal Image Registration with Multilevel Correlation Pyramidal Optimization..- In Gradients We Trust: NGF-Driven Registration for ReMIND 2025..- Gabor-Based Neighborhood Descriptor for MRI–iUS Brain Image Registration..- LUMIR..- Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)..- Strategies for Robust Deep Learning Based De formable Registration..- Unleashing the power of intensity augmentation for multi-modal image registration..- Adapting Frozen Mono-modal Backbones for Multi modal Registration via Contrast-Agnostic Instance Optimization..- Generalizable Learning-based Image Registration via Self-Supervised Multi-modal Representation Learning from Single-modal Data..- Swin-CNN Hybrid Framework for Enhanced De formable Image Registration..- Efficient Unsupervised Multimodal Brain MR Image Registration with Encoder-only Network.