:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Reithmeir, Anna, Felsner, Lina, Braren, Rickmer, Schnabel, Julia A., Zimmer, Veronika A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2407.04355
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

General Vision Encoder Features as Guidance in Medical Image Registration
di: Kögl, Fryderyk, et al.
Pubblicazione: (2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
di: Reithmeir, Anna, et al.
Pubblicazione: (2024)

MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging
di: Zhang, Xingyu, et al.
Pubblicazione: (2025)

Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification
di: Mayr, Josef, et al.
Pubblicazione: (2025)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
di: Lang, Daniel M., et al.
Pubblicazione: (2025)

Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?
di: Kiechle, Johannes, et al.
Pubblicazione: (2024)

Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?
di: Langer, Simon, et al.
Pubblicazione: (2024)

Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
di: Fischer, Stefan M., et al.
Pubblicazione: (2025)

A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer
di: Machado, Inês P., et al.
Pubblicazione: (2024)

Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning
di: Eichhorn, Hannah, et al.
Pubblicazione: (2025)

Uncertainty-guided Generation of Dark-field Radiographs
di: Felsner, Lina, et al.
Pubblicazione: (2026)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
di: Spieker, Veronika, et al.
Pubblicazione: (2024)

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
di: Fischer, Stefan M., et al.
Pubblicazione: (2024)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
di: Spieker, Veronika, et al.
Pubblicazione: (2025)

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
di: Li, Jun, et al.
Pubblicazione: (2024)

HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration
di: Shuaibu, Aisha L., et al.
Pubblicazione: (2024)

LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening
di: Brandt, Johannes, et al.
Pubblicazione: (2025)

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
di: Chobola, Tomáš, et al.
Pubblicazione: (2025)

Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment
di: Seletkov, Dmitrii, et al.
Pubblicazione: (2025)

Machine Unlearning for Medical Imaging
di: Nasirigerdeh, Reza, et al.
Pubblicazione: (2024)

Denoising Diffusion Models for Anomaly Localization in Medical Images
di: Bercea, Cosmin I., et al.
Pubblicazione: (2024)

Atlas-Based Interpretable Age Prediction In Whole-Body MR Images
di: Starck, Sophie, et al.
Pubblicazione: (2023)

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
di: Min, Zhe, et al.
Pubblicazione: (2024)

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies
di: Jian, Bailiang, et al.
Pubblicazione: (2025)

Jigsaw Regularization in Whole-Slide Image Classification
di: Jeong, So Won, et al.
Pubblicazione: (2026)

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
di: Nielen, Tim, et al.
Pubblicazione: (2026)

Towards Universal Unsupervised Anomaly Detection in Medical Imaging
di: Bercea, Cosmin I., et al.
Pubblicazione: (2024)

CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization
di: Wang, Yinsong, et al.
Pubblicazione: (2024)

DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration
di: Siyal, Ahsan Raza, et al.
Pubblicazione: (2025)

Pyramid Attention Network for Medical Image Registration
di: Wang, Zhuoyuan, et al.
Pubblicazione: (2024)

Medical Image Registration via Neural Fields
di: Sun, Shanlin, et al.
Pubblicazione: (2022)

Semantic Alignment of Unimodal Medical Text and Vision Representations
di: Di Folco, Maxime, et al.
Pubblicazione: (2025)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
di: Avci, Mehmet Yigit, et al.
Pubblicazione: (2024)

Medical Image Registration and Its Application in Retinal Images: A Review
di: Nie, Qiushi, et al.
Pubblicazione: (2024)

Evaluation of Deformable Image Registration under Alignment-Regularity Trade-off
di: Sideri-Lampretsa, Vasiliki, et al.
Pubblicazione: (2025)

On Image Registration and Subpixel Estimation
di: Savari, Serap A.
Pubblicazione: (2024)

A Counterexample in Image Registration
di: Savari, Serap A.
Pubblicazione: (2024)

Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
di: Chebykin, Alexander, et al.
Pubblicazione: (2024)

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
di: Di Folco, Maxime, et al.
Pubblicazione: (2024)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
di: Fischer, Maximilian, et al.
Pubblicazione: (2024)