:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Toivanen, J., Kolehmainen, V., Paldanius, A., Hänninen, A., Hauptmann, A., Hamilton, S. J.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Analysis of PDEs
Online Access:	https://arxiv.org/abs/2412.07888
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast 3D Partial Boundary Data EIT Reconstructions using Direct Inversion CGO-based Methods
by: Hamilton, Sarah J., et al.
Published: (2024)

Fast algorithms enabling optimization and deep learning for photoacoustic tomography in a circular detection geometry
by: Hauptmann, Andreas, et al.
Published: (2025)

Local electrical impedance tomography via projections
by: Jääskeläinen, A., et al.
Published: (2026)

Learned enclosure method for experimental EIT data
by: Sippola, Sara, et al.
Published: (2025)

Projection-based preprocessing for electrical impedance tomography to reduce the effect of electrode contacts
by: Jääskeläinen, Altti, et al.
Published: (2024)

Learned iterative networks: An operator learning perspective
by: Hauptmann, Andreas, et al.
Published: (2025)

Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing
by: Zúñiga-Galindo, W. A., et al.
Published: (2024)

Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume
by: Bohoran, Tuan A., et al.
Published: (2024)

Towards robust quantitative photoacoustic tomography via learned iterative methods
by: Manninen, Anssi, et al.
Published: (2025)

Deep convolutional demosaicking network for multispectral polarization filter array
by: Ishiuchi, Tomoharu, et al.
Published: (2024)

DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
by: Saunders, Adam M., et al.
Published: (2025)

Estimation of motion blur kernel parameters using regression convolutional neural networks
by: Varela, Luis G., et al.
Published: (2023)

Bayesian reconstruction of sparse raster-scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy
by: Berger, Constantin, et al.
Published: (2024)

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction
by: Hong, Tao, et al.
Published: (2024)

Estimation of non-uniform motion blur using a patch-based regression convolutional neural network (CNN)
by: Varela, Luis G., et al.
Published: (2024)

Using convolutional neural networks for the classification of breast cancer images
by: Bonnet, Eric
Published: (2021)

High-background X-ray single particle imaging enabled by holographic enhancement with 2D crystals
by: Mall, Abhishek, et al.
Published: (2025)

Data-independent Low-complexity KLT Approximations for Image and Video Coding
by: Radünz, A. P., et al.
Published: (2021)

Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
by: Nouman, Muhammad, et al.
Published: (2024)

Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
by: Alkhimova, Svitlana, et al.
Published: (2023)

Designing robust diffractive neural networks with improved transverse shift tolerance
by: Soshnikov, Daniil V., et al.
Published: (2024)

Design of diffractive neural networks solving different classification problems at different wavelengths
by: Motz, Georgy A., et al.
Published: (2024)

Fast Inexact Bilevel Optimization for Analytical Deep Image Priors
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
by: Rafiee, Ahmad Ali, et al.
Published: (2023)

Mathematical framework for perception-driven parameter choice in image denoising
by: Isoranta, Saara, et al.
Published: (2026)

A Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration
by: Wang, Qingsong, et al.
Published: (2019)

Motion Detection in Diffraction Tomography by Common Circle Methods
by: Quellmalz, Michael, et al.
Published: (2022)

Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation
by: Krahmer, Felix, et al.
Published: (2022)

Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data
by: Kerkelä, Leevi, et al.
Published: (2022)

Application of convolutional neural networks in image super-resolution
by: Tian, Chunwei, et al.
Published: (2025)

A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI
by: Hong, Tao, et al.
Published: (2023)

A Generalized Framework for Analytic Regularization of Uniform Cubic B-spline Displacement Fields
by: Shah, Keyur D., et al.
Published: (2020)

Stereo X-ray tomography on deformed object tracking
by: Shang, Zhenduo, et al.
Published: (2025)

Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
by: Hong, Tao, et al.
Published: (2025)

Selective nonlinearities removal from digital signals
by: Maliszewski, Krzysztof A., et al.
Published: (2024)

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks
by: Cerrone, D., et al.
Published: (2024)

Phase tomography with axial structured illumination
by: Goyal, N, et al.
Published: (2025)

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
by: Ibañez, Victor, et al.
Published: (2024)

Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture
by: Hashemi, Seyed Hesam Odin, et al.
Published: (2022)

Quality assurance of the Federal Interagency Traumatic Brain Injury Research (FITBIR) MRI database to enable integrated multi-site analysis
by: Saunders, Adam M., et al.
Published: (2025)