Papers matching “deep learning training data” 346
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UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning2023 ACS Nanoscience Au article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
André Colliard-Granero, Jenia Jitsev, Michael Hermann Eikerling, Kourosh Malek, Mohammad J. Eslamibidgoli
12citations -
Deep learning segmentation model for quantification of infarct size in pigs with myocardial ischemia/reperfusion2024 Basic Research in Cardiology article Computer Science Medical Image Segmentation Techniques Open access
Felix Braczko, Andreas Skyschally, Helmut Raphael Lieder, Jakob Nikolas Kather, Petra Kleinbongard, Gerd Heusch
2citations -
Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning2023 IET Intelligent Transport Systems article Engineering Electric and Hybrid Vehicle Technologies Open access
Lukas Schäfers, Kai Franke, René Savelsberg, Stefan Pischinger
8citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Bird song comparison using deep learning trained from avian perceptual judgments2024 PLoS Computational Biology article Biochemistry, Genetics and Molecular Biology Animal Vocal Communication and Behavior Open access
Lies Zandberg, Veronica Morfi, Julia M. George, David F. Clayton, Dan Stowell, Robert F. Lachlan
4citations -
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
5citations -
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation2025 European Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Lara M. Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, Kevin Martin Bradley, Andrew Bassim Hassan, Willem Grootjans, +1 more
8citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI2024 Journal of Cardiovascular Magnetic Resonance article Computer Science Medical Image Segmentation Techniques Open access
Xiaowu Sun, Li‐Hsin Cheng, Sven Plein, Pankaj Kumar Garg, Rob J. van der Geest
28citations -
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy2020 Briefings in Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez‐Lago, +4 more
90citations -
Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool2025 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access
Benno G. Gesierich, Lukas Pirpamer, Dominik Meier, Michael Amann, Minne N. Cerfontaine, Frank‐Erik de Leeuw, +8 more
9citations -
Compensating Environmental Disturbances in Maritime Path Following Using Deep Reinforcement Learning2026 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access
Björn Krautwig, Dominik Wans, Till Temmen, Tobias Brinkmann, Sung-Yong Lee, Daehyuk Kim, +1 more
1citations -
Novel near-infrared spectroscopy–intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization
Anantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, Evangelia Tzorovili, Retesh Bajaj, Pieter H. Kitslaar, +12 more
13citations -
Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning Features2026 Journal of Imaging Informatics in Medicine article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Hemalatha Kanakarajan, Jikai Zhou, Aiara Lobo Gomes, Petros Kalendralis, Wenjie Liang, Fariba Tohidinezhad, +3 more
4citations