Copertina

Online learning in motion modeling for intra-interventional image sequences

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gunnarsson, Niklas, Sjölund, Jens, Kimstrand, Peter, Schön, Thomas. B
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unsupervised dynamic modeling of medical image transformation
di: Gunnarsson, Niklas, et al.
Pubblicazione: (2021)

Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods
di: Li, Xia, et al.
Pubblicazione: (2024)

Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
di: Tan, H. S., et al.
Pubblicazione: (2023)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
di: Ren, Jintao, et al.
Pubblicazione: (2024)

A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images
di: Jing, Bowen, et al.
Pubblicazione: (2025)

Improving image quality of sparse-view lung tumor CT images with U-Net
di: Ries, Annika, et al.
Pubblicazione: (2023)

Exploiting network optimization stability for enhanced PET image denoising using deep image prior
di: Hashimoto, Fumio, et al.
Pubblicazione: (2025)

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography
di: Ahmed, Emir, et al.
Pubblicazione: (2025)

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
di: Deshpande, Rucha, et al.
Pubblicazione: (2024)

Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning
di: Wech, Tobias, et al.
Pubblicazione: (2024)

Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising
di: Pakzad, Ashkan, et al.
Pubblicazione: (2025)

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis
di: Zhang, Lu, et al.
Pubblicazione: (2026)

multimodars: A Rust-powered toolkit for multi-modality cardiac image fusion and registration
di: Stark, Anselm W., et al.
Pubblicazione: (2025)

AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs
di: Whitney, Heather M., et al.
Pubblicazione: (2025)

Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
di: Weragoda, Sugandima, et al.
Pubblicazione: (2024)

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
di: Bench, Ciaran, et al.
Pubblicazione: (2025)

Taming Diffusion Models for Image Restoration: A Review
di: Luo, Ziwei, et al.
Pubblicazione: (2024)

Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
di: Luo, Ziwei, et al.
Pubblicazione: (2024)

Controlling Vision-Language Models for Multi-Task Image Restoration
di: Luo, Ziwei, et al.
Pubblicazione: (2023)

Digital twins enable full-reference quality assessment of photoacoustic image reconstructions
di: Gröhl, Janek, et al.
Pubblicazione: (2025)

Online learning for X-ray, CT or MRI
di: Bhuiyan, Mosabbir, et al.
Pubblicazione: (2023)

GACELLE: GPU-accelerated tools for model parameter estimation and image reconstruction
di: Chan, Kwok-Shing, et al.
Pubblicazione: (2025)

Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
di: Williams, Josh, et al.
Pubblicazione: (2023)

Warm-Started Reinforcement Learning for Iterative 3D/2D Liver Registration
di: Zhang, Hanyuan, et al.
Pubblicazione: (2026)

OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
di: Wang, Hanchen, et al.
Pubblicazione: (2025)

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
di: Piffer, A., et al.
Pubblicazione: (2025)

Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

sFRC for assessing hallucinations in medical image restoration
di: Kc, Prabhat, et al.
Pubblicazione: (2026)

Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function
di: Lantz, Megan, et al.
Pubblicazione: (2024)

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
di: Yang, Yongquan, et al.
Pubblicazione: (2023)

Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset
di: van Lune, Jelmer, et al.
Pubblicazione: (2026)

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
di: Nascimento, Gabriel A. B. do, et al.
Pubblicazione: (2025)

3D Freehand Ultrasound using Visual Inertial and Deep Inertial Odometry for Measuring Patellar Tracking
di: Buchanan, Russell, et al.
Pubblicazione: (2024)

Diffusion Schrödinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning
di: Li, Muheng, et al.
Pubblicazione: (2024)

Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
di: Zhang, Xinrui, et al.
Pubblicazione: (2024)

Single color digital H&E staining with In-and-Out Net
di: Chen, Mengkun, et al.
Pubblicazione: (2024)

Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation
di: Shah, Keyur D., et al.
Pubblicazione: (2024)

Adaptive local boundary conditions to improve Deformable Image Registration
di: Inacio, Eloïse, et al.
Pubblicazione: (2024)