:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Sheng, Marino, Armando, Shui, Wenze, Hu, Zhongwen
Format:	Preprint
Publié:	2020
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2003.13648
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
par: Hoang, Gia Minh, et autres
Publié: (2023)

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
par: Rafiee, Ahmad Ali, et autres
Publié: (2023)

Semi-weakly-supervised neural network training for medical image registration
par: Li, Yiwen, et autres
Publié: (2024)

Estimation of motion blur kernel parameters using regression convolutional neural networks
par: Varela, Luis G., et autres
Publié: (2023)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
par: Gan, Haitao, et autres
Publié: (2024)

DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
par: Saunders, Adam M., et autres
Publié: (2025)

Lung nodule classification on CT scan patches using 3D convolutional neural networks
par: Sydorskyi, Volodymyr
Publié: (2026)

Application of convolutional neural networks in image super-resolution
par: Tian, Chunwei, et autres
Publié: (2025)

What limits performance of weakly supervised deep learning for chest CT classification?
par: Tushar, Fakrul Islam, et autres
Publié: (2024)

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

Integrated diffractive full-Stokes spectro-polarimetric imaging
par: Ma, Jingyue, et autres
Publié: (2025)

Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
par: Alkhimova, Svitlana, et autres
Publié: (2023)

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data
par: Oppliger, Jens, et autres
Publié: (2022)

Design of diffractive neural networks solving different classification problems at different wavelengths
par: Motz, Georgy A., et autres
Publié: (2024)

CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification
par: Miranda, Mateus de Souza, et autres
Publié: (2025)

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
par: Cepeda, Santiago, et autres
Publié: (2024)

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets
par: Pusterla, Orso, et autres
Publié: (2021)

Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
par: Chatterjee, Soumick, et autres
Publié: (2022)

BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
par: Mondal, Sohag Kumar, et autres
Publié: (2024)

Deep convolutional demosaicking network for multispectral polarization filter array
par: Ishiuchi, Tomoharu, et autres
Publié: (2024)

Reconstruction of partially occluded objects with a physics-driven self-training neural network
par: Xiang, Mingjun, et autres
Publié: (2024)

Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands
par: Meijling, Eva Gmelich, et autres
Publié: (2025)

Recursive classification of satellite imaging time-series: An application to land cover mapping
par: Calatrava, Helena, et autres
Publié: (2023)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
par: Wang, Shanshan, et autres
Publié: (2024)

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
par: Sahoo, Alok Ranjan, et autres
Publié: (2024)

Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data
par: Kerkelä, Leevi, et autres
Publié: (2022)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
par: Ahamed, Shadab, et autres
Publié: (2024)

TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
par: Wang, Fan, et autres
Publié: (2024)

Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
par: Millard, Charles, et autres
Publié: (2022)

Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
par: Park, Juhyung, et autres
Publié: (2022)

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
par: Trombetta, Robin, et autres
Publié: (2024)

Estimating temperatures with low-cost infrared cameras using deep neural networks
par: Oz, Navot, et autres
Publié: (2023)

Quality-factor inspired deep neural network solver for solving inverse scattering problems
par: Du, Yutong, et autres
Publié: (2025)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
par: Slootweg, I. R., et autres
Publié: (2024)

Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
par: Wang, Xin, et autres
Publié: (2024)

χ-sepnet: Deep neural network for magnetic susceptibility source separation
par: Kim, Minjun, et autres
Publié: (2024)

Spiking neural networks: Towards bio-inspired multimodal perception in robotics
par: Oikonomou, Katerina Maria, et autres
Publié: (2024)

Time-efficient filtering of polarimetric data by checking physical realizability of experimental Mueller matrices
par: Novikova, Tatiana, et autres
Publié: (2024)

Detection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers
par: Amador, Pablo Ramirez, et autres
Publié: (2024)