:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Starodub, Valentyna, Lukoševičius, Mantas
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing 68T07, 68T05, 68T45, 92C55 I.2.6; J.3
Accesso online:	https://arxiv.org/abs/2510.26778
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba
di: Jiang, Linzhe, et al.
Pubblicazione: (2025)

Computational Imaging Priors for Wireless Capsule Endoscopy: Monte Carlo-Guided Hemoglobin Mapping for Rare-Anomaly Detection
di: Yang, Chengshuai, et al.
Pubblicazione: (2026)

Structural Graph Neural Networks with Anatomical Priors for Explainable Chest X-ray Diagnosis
di: Berkani, Khaled
Pubblicazione: (2026)

Vision-Language Models for Acute Tuberculosis Diagnosis: A Multimodal Approach Combining Imaging and Clinical Data
di: Ganapthy, Ananya, et al.
Pubblicazione: (2025)

SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling
di: Dillard, Laurent, et al.
Pubblicazione: (2024)

Inference acceleration for large language models using "stairs" assisted greedy generation
di: Grigaliūnas, Domas, et al.
Pubblicazione: (2024)

A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
di: Gad, Eyad, et al.
Pubblicazione: (2025)

Extracting Sentence Embeddings from Pretrained Transformer Models
di: Stankevičius, Lukas, et al.
Pubblicazione: (2024)

Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI
di: Terhag, F., et al.
Pubblicazione: (2023)

Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines
di: Wimalasiri, Chathura
Pubblicazione: (2026)

Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
di: Vileikytė, Brigita, et al.
Pubblicazione: (2024)

Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
di: Ma, Siteng, et al.
Pubblicazione: (2025)

Imaging Modalities-Based Classification for Lung Cancer Detection
di: Ahmed, Sajim, et al.
Pubblicazione: (2025)

Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods
di: Gama, Filipe, et al.
Pubblicazione: (2024)

Technical Report: Automated Optical Inspection of Surgical Instruments
di: Shafqat, Zunaira, et al.
Pubblicazione: (2026)

CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning
di: Basit, Abdul, et al.
Pubblicazione: (2025)

Task-Synchronized Recurrent Neural Networks
di: Lukoševičius, Mantas, et al.
Pubblicazione: (2022)

mCardiacDx: Radar-Driven Contactless Monitoring and Diagnosis of Arrhythmia
di: Kumar, Arjun, et al.
Pubblicazione: (2025)

Utilising a learned forward operator in the inverse problem of photoacoustic tomography
di: Puronhaara, Karoliina, et al.
Pubblicazione: (2026)

Phase-Coded Memory and Morphological Resonance: A Next-Generation Retrieval-Augmented Generator Architecture
di: Saklakov, Denis V.
Pubblicazione: (2025)

GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation
di: AbdulRazek, M., et al.
Pubblicazione: (2023)

TauFlow: Dynamic Causal Constraint for Complexity-Adaptive Lightweight Segmentation
di: Chen, Zidong, et al.
Pubblicazione: (2025)

BreastDCEDL: A Comprehensive Breast Cancer DCE-MRI Dataset and Transformer Implementation for Treatment Response Prediction
di: Fridman, Naomi, et al.
Pubblicazione: (2025)

Differentially private federated learning for localized control of infectious disease dynamics
di: Kerkouche, Raouf, et al.
Pubblicazione: (2025)

Towards Model Discovery Using Domain Decomposition and PINNs
di: Saha, Tirtho S., et al.
Pubblicazione: (2024)

Depth Priors in Removal Neural Radiance Fields
di: Guo, Zhihao, et al.
Pubblicazione: (2024)

How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study
di: Brusnicki, Roberto, et al.
Pubblicazione: (2026)

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays
di: Ko, Hanbin, et al.
Pubblicazione: (2025)

Genomic Language Models: Opportunities and Challenges
di: Benegas, Gonzalo, et al.
Pubblicazione: (2024)

Automated Cervical Cancer Detection through Visual Inspection with Acetic Acid in Resource-Poor Settings with Lightweight Deep Learning Models Deployed on an Android Device
di: Maben, Leander Melroy, et al.
Pubblicazione: (2025)

Optimizing Large Language Models for OpenAPI Code Completion
di: Petryshyn, Bohdan, et al.
Pubblicazione: (2024)

Z-Order Transformer for Feed-Forward Gaussian Splatting
di: Wang, Can, et al.
Pubblicazione: (2026)

EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolution
di: Rao, Penghao, et al.
Pubblicazione: (2025)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
di: Rakib, Mazharul Islam, et al.
Pubblicazione: (2025)

Isolated Sign Language Recognition with Segmentation and Pose Estimation
di: Perkins, Daniel, et al.
Pubblicazione: (2025)

How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
di: Nasybullin, Albert, et al.
Pubblicazione: (2026)

Generative neural physics enables quantitative volumetric ultrasound of tissue mechanics
di: Zeng, Zhijun, et al.
Pubblicazione: (2025)

Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography
di: Sahlström, Teemu, et al.
Pubblicazione: (2022)

AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI
di: Shastry, Praveen, et al.
Pubblicazione: (2025)

Optimizing MoE Routers: Design, Implementation, and Evaluation in Transformer Models
di: Harvey, Daniel Fidel, et al.
Pubblicazione: (2025)