:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Matoso, Ana, Passarinho, Catarina, Loureiro, Marta P., Moreira, José Maria, Figueiredo, Patrícia, Nunes, Rita G.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2504.18268
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium
by: Shuaib, Haris, et al.
Published: (2024)

A 3D deep learning classifier and its explainability when assessing coronary artery disease
by: Cheung, Wing Keung, et al.
Published: (2023)

Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
by: Maqbool, Jawaria, et al.
Published: (2023)

Oral squamous cell detection using deep learning
by: Sharma, Samrat Kumar Dev
Published: (2024)

Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles
by: Chen, Ziyan, et al.
Published: (2025)

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers
by: Pereira, Rita, et al.
Published: (2025)

Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature
by: Brites, Catarina, et al.
Published: (2024)

Characterizing segregation in blast rock piles a deep-learning approach leveraging aerial image analysis
by: Liu, Chengeng, et al.
Published: (2024)

Microwave lymphedema assessment using deep learning with contour assisted backprojection
by: Chang, Yuyi, et al.
Published: (2024)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
by: Bhattacharya, Debayan, et al.
Published: (2024)

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning
by: Verdelho, M Rita, et al.
Published: (2025)

Equitable non-contact infrared thermography after solar loading using deep learning
by: Zhao, Ellin Q., et al.
Published: (2023)

A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
by: Preanto, Sabit Ahamed, et al.
Published: (2024)

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models
by: Mesquita, Gonçalo, et al.
Published: (2025)

Deep learning approach for flow visualization in background-oriented schlieren
by: Ram, Viren S., et al.
Published: (2025)

Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
by: Cheung, Wing Keung, et al.
Published: (2023)

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

Quality assessment of brain structural MR images: Comparing generalization of deep learning versus hand-crafted feature-based machine learning methods to new sites
by: Kaur, Prabhjot, et al.
Published: (2026)

Multispectral palmprint recognition based on three descriptors: LBP, Shift LBP, and Multi Shift LBP with LDA classifier
by: Aqreerah, Salwua, et al.
Published: (2023)

An edge detection-based deep learning approach for tear meniscus height measurement
by: Wang, Kesheng, et al.
Published: (2024)

An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
by: Yilmaz, Abdurrahim, et al.
Published: (2025)

Multi-temporal crack segmentation in concrete structures using deep learning approaches
by: Harb, Said, et al.
Published: (2024)

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

High-resolution single-pixel imaging in real time with iterative or deep learning-based reconstruction enhancement
by: Pastuszczak, Anna, et al.
Published: (2025)

Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
by: Yu, Yi, et al.
Published: (2025)

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype
by: Redlich, Jan-Philipp, et al.
Published: (2026)

On the use of deep learning for phase recovery
by: Wang, Kaiqiang, et al.
Published: (2023)

Toward ground-truth optical coherence tomography via three-dimensional unsupervised deep learning processing and data
by: Wu, Renxiong, et al.
Published: (2023)

Computational interference microscopy enabled by deep learning
by: Jiao, Yuheng, et al.
Published: (2020)

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
by: Mota, Tiago, et al.
Published: (2024)

What limits performance of weakly supervised deep learning for chest CT classification?
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)

Semantic segmentation on multi-resolution optical and microwave data using deep learning
by: Singla, Jai G, et al.
Published: (2024)

Classification of residential and non-residential buildings based on satellite data using deep learning
by: Singla, Jai G
Published: (2024)

Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines
by: Ahmad, Alwani Liyana, et al.
Published: (2024)

Probabilistic volumetric speckle suppression in OCT using deep learning
by: Chintada, Bhaskara Rao, et al.
Published: (2023)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
by: Diakite, Alou, et al.
Published: (2024)

Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach
by: Kopiika, Nadiia, et al.
Published: (2024)

A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
by: Chen, Yuzhuo, et al.
Published: (2024)