:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Paccini, Martina, Cammarasana, Simone, Patanè, Giuseppe
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2506.11821
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
by: Cammarasana, Simone, et al.
Published: (2021)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025)

Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
by: Bhattacharya, Moinak, et al.
Published: (2025)

Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
by: Hoyer, Gabrielle, et al.
Published: (2025)

DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines
by: Liu, Junqi, et al.
Published: (2024)

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images
by: Soufi, Mazen, et al.
Published: (2024)

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

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
by: Fu, Zhaojin, et al.
Published: (2024)

Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)

Optimal Weighted Convolution for Classification and Denosing
by: Cammarasana, Simone, et al.
Published: (2025)

LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
by: Song, Chenyue, et al.
Published: (2025)

High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
by: Rodrigues, Livia, et al.
Published: (2024)

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
by: Rodrigues, Livia, et al.
Published: (2024)

Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
by: Astaraki, Mehdi, et al.
Published: (2024)

Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control
by: Guarino, Giuseppe, et al.
Published: (2025)

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2024)

Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis
by: Pastorino, Martina, et al.
Published: (2025)

Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders
by: Mari, Daniele, et al.
Published: (2024)

Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications
by: Yu, Jinglun, et al.
Published: (2026)

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
by: Raggio, Ciro Benito, et al.
Published: (2024)

SQ-GAN: Semantic Image Communications Using Masked Vector Quantization
by: Pezone, Francesco, et al.
Published: (2025)

Data-driven Precipitation Nowcasting Using Satellite Imagery
by: Park, Young-Jae, et al.
Published: (2024)

IBVC: Interpolation-driven B-frame Video Compression
by: Xu, Chenming, et al.
Published: (2023)

Prompt-driven Latent Domain Generalization for Medical Image Classification
by: Yan, Siyuan, et al.
Published: (2024)

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology
by: Oh, Yujin, et al.
Published: (2023)

MetaFormer-driven Encoding Network for Robust Medical Semantic Segmentation
by: Tran, Le-Anh, et al.
Published: (2026)

SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement
by: Panda, Gargi, et al.
Published: (2024)

Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
by: Bai, Huiyan, et al.
Published: (2024)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024)

Effectiveness of learning-based image codecs on fingerprint storage
by: Mari, Daniele, et al.
Published: (2024)

A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising
by: Rui, Xiangyu, et al.
Published: (2022)

TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
by: Xu, Di, et al.
Published: (2024)

QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
by: Yang, Qijun, et al.
Published: (2025)

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
by: Zhao, Weiren, et al.
Published: (2025)

LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression
by: Murai, Shimon, et al.
Published: (2024)

Optimal Density Functions for Weighted Convolution in Learning Models
by: Cammarasana, Simone, et al.
Published: (2025)

Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection
by: Coccomini, Davide Alessandro, et al.
Published: (2024)

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
by: Aguila, Ana Lawry, et al.
Published: (2025)

ContextLoss: Context Information for Topology-Preserving Segmentation
by: Schacht, Benedict, et al.
Published: (2025)

Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
by: Ding, Ruiwen, et al.
Published: (2025)