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检索条件"机构=Research Unit of Computer Systems and Bioinformatics"
77 条 记 录,以下是21-30 订阅
排序:
Exploring the Potential of Symbolic Regression in Precision Livestock Farming  11
Exploring the Potential of Symbolic Regression in Precision ...
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11th European Conference on Precision Livestock Farming
作者: Mayrhuber, E. Oczak, M. Iwersen, M. Brunner, D. Dorfer, V. Winkler, S.M. Bioinformatics Research Group PLFDoc University of Applied Sciences Upper Austria Hagenberg Austria Computer Vision Lab TU Wien Vienna Austria Precision Livestock Farming Hub The University of Veterinary Medicine Vienna Vienna Austria Center for Animal Nutrition and Welfare The University of Veterinary Medicine Vienna Vienna Austria Center for Veterinary Systems Transformation and Sustainability Clinical Unit for Herd Health Management The University of Veterinary Medicine Vienna Vienna Austria
The ability to predict farrowing time in pigs is crucial for optimal farm management and ensuring piglet survival. This study investigates the potential of explainable artificial intelligence for precision livestock f... 详细信息
来源: 评论
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
arXiv
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arXiv 2025年
作者: Guarrasi, Valerio Di Feola, Francesco Restivo, Rebecca Tronchin, Lorenzo Soda, Paolo Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Department of Computing Science Umeå University Umeå Sweden Department of Diagnostics and Intervention Biomedical Engineering and Radiation Physics Umeå University Umeå Sweden
Generating positron emission tomography (PET) images from computed tomography (CT) scans via deep learning offers a promising pathway to reduce radiation exposure and costs associated with PET imaging, improving patie... 详细信息
来源: 评论
Optimal Brain Dissection in Dense Autoencoders: Towards Determining Feature Importance in -Omics Data  5
Optimal Brain Dissection in Dense Autoencoders: Towards Dete...
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5th IEEE International Conference on BioInspired Processing, BIP 2023
作者: Amin, Fin Van Den Broeck, Lisa De Smet, Ive Locke, Anna M. Sozzani, Rossangela North Carolina State University Department of Electrical and Computer Engineering Raleigh United States Protealis NV Ghent Belgium Ghent University VIB Center for Plant Systems Biology Department of Plant Biotechnology and Bioinformatics GhentB-9052 Belgium Soybean Nitrogen Fixation Research Unit USDA-ARS Raleigh United States North Carolina State University NC Plant Sciences Initiative Raleigh United States
Recently, there has been increased interest in ma-chine learning explainability. Understanding the complex relationship between input features of a model and their respective outputs is of increased relevance, especia... 详细信息
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A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
arXiv
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arXiv 2024年
作者: Guarrasi, Valerio Aksu, Fatih Caruso, Camillo Maria Feola, Francesco Di Rofena, Aurora Ruffini, Filippo Soda, Paolo Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Department of Biomedical Sciences Humanitas University Milan Italy Department of Diagnostics and Intervention Radiation Physics Biomedical Engineering Umeå University Umeå Sweden
Deep learning has revolutionized biomedical research by providing sophisticated methods to handle complex, high-dimensional data. Multimodal deep learning (MDL) further enhances this capability by integrating diverse ... 详细信息
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From Pre-Training to Fine-Tuning: An In-Depth Analysis of Large Language Models in the Biomedical Domain
SSRN
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SSRN 2024年
作者: Bonfigli, Agnese Bacco, Luca Merone, Mario Dell’Orletta, Felice ItaliaNLP Lab Institute of Computational Linguistics "Antonio Zampolli" National Research Council Via Giuseppe Moruzzi 1 Pisa56124 Italy Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Via Alvaro del Portillo 21 Rome00128 Italy
In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Large Language Models (LLMs) within the biomedical domain, a field that poses unique challenges due to its complexity and... 详细信息
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BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications
arXiv
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arXiv 2024年
作者: Manni, Guido Lauretti, Clemente Prata, Francesco Papalia, Rocco Zollo, Loredana Soda, Paolo Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Unit of Advanced Robotics and Human-Centred Technologies Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Department of Urology Fondazione Policlinico Universitario Campus Bio-Medico Rome Italy
Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth perception and instrument manipulation. While Monocular Visual Simultaneous Localization and Mapping (MVSLAM) has emerged as ... 详细信息
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Postural Data Analysis using AI-powered Classification Models
Postural Data Analysis using AI-powered Classification Model...
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Workshop on Metrology for Industry 4.0 and IoT
作者: Luca Bacco Matteo Coletta Martina Zaltieri Daniela Lo Presti Carlo Massaroni Emiliano Schena Mario Merone Department of Engineering Research Unit of Computer Systems and Bioinformatics Università Campus Bio-Medico di RomaVia Alvaro del Portillo 21 Rome Italy Department of Engineering Research Unit of Measurements and Biomedical Instrumentation Università Campus Bio-Medico di RomaVia Alvaro del Portillo 21 Rome Italy
Nowadays, more and more people are working remotely or in professions that require them to sit for long periods of time. Unfortunately, spending too much time in a seated position can lead to a range of physical and m...
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Class Balancing Diversity Multimodal Ensemble for Alzheimer’s Disease Diagnosis and Early Detection
arXiv
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arXiv 2024年
作者: Francesconi, Arianna di Biase, Lazzaro Cappetta, Donato Rebecchi, Fabio Soda, Paolo Sicilia, Rosa Guarrasi, Valerio Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Operative Research Unit of Neurology Fondazione Policlinico Universitario Campus Bio-Medico Rome Italy Eustema S.p.A. Research and Development Centre Naples Italy Department of Diagnostic and Intervention Radiation Physics Biomedical Engineering Umeå University Umeå Sweden
Alzheimer’s disease (AD) poses significant global health challenges due to its increasing prevalence and associated societal costs. Early detection and diagnosis of AD are critical for delaying progression and improv... 详细信息
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A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
arXiv
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arXiv 2023年
作者: Caruso, Camillo Maria Guarrasi, Valerio Ramella, Sara Soda, Paolo Research Unit of Computer Systems and Bioinformatics Department of Engineering Università Campus Bio-Medico di Roma Rome Italy Operative Research Unit of Radiation Oncology Fondazione Policlinico Universitario Campus Bio-Medico Rome Italy Department of Diagnostics and Intervention Radiation Physics Biomedical Engineering Umeå University Umeå Sweden
Background and Objective: In the field of lung cancer research, particularly in the analysis of overall survival (OS), artificial intelligence (AI) serves crucial roles with specific aims. Given the prevalent issue of... 详细信息
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Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer
Early Experiences on using Triplet Networks for Histological...
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Annual IEEE Symposium on computer-Based Medical systems
作者: Fatih Aksu Fabrizia Gelardi Arturo Chiti Paolo Soda Department of Biomedical Sciences Humanitas University Milan Italy IRCCS Humanitas Research Hospital Milan Italy Research Unit of Computer Systems and Bioinformatics Campus Bio-Medico University of Rome Rome Italy Department of Radiation Sciences Radiation Physics Biomedical Engineering Umeå University Umeå Sweden
Lung cancer has the highest mortality rate among tumours and an accurate pathological assessment is crucial to deliver personalized treatments to patients. The gold standard for pathological assessment requires invasi...
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