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Publication search results
found 485 matches
- 2024
- Graciela Juez-Castillo, Brayan Valencia-Vidal, Lina M. Orrego, María Cabello-Donayre, Laura Montosa-Hidalgo, José M. Pérez-Victoria:
FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images. Medical Image Anal. 91: 103036 (2024) - Lina Meyer, Lena-Marie Woelk, Christine E. Gee, Christian Lohr, Sukanya A. Kannabiran, Björn-Philipp Diercks, René Werner:
Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images DECO-DIP. Bildverarbeitung für die Medizin 2024: 322-327 - Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato:
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. CoRR abs/2403.17506 (2024) - 2023
- Roman Spilger:
Deep Learning Methods for Detection and Tracking of Particles in Fluorescence Microscopy Images. Heidelberg University, Germany, 2023 - Josué Page Vizcaíno:
Enabling real-time light-field 3D fluorescence microscopy through computational microscopy and deep learning (Ermöglichung von Echtzeit-Lichtfeld-3D-Fluoreszenzmikroskopie durch computergestützte Mikroskopie und Deep Learning). Technical University of Munich, Germany, 2023 - Bastien Laville:
Reconstruction sans-grille de courbes: théorie et applications en microscopie de fluorescence. (Off-the-grid curve reconstruction: theory and applications in fluorescence microscopy). Côte d'Azur University, Nice, France, 2023 - Vasiliki Stergiopoulou:
Learning and optimization for 3D super-resolution in fluorescence microscopy. (Apprentissage et optimisation pour la super-résolution 3D en microscopie de fluorescence). Côte d'Azur University, Nice, France, 2023 - Christian Ritter, Roman Thielemann, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images. IEEE Access 11: 49772-49784 (2023) - Sebastián López Flórez, Alfonso González-Briones, Guillermo Hernández, Carlos Ramos, Fernando de la Prieta:
Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach. Int. J. Interact. Multim. Artif. Intell. 8(3): 64 (2023) - Zichen Wang, Parth Natekar, Challana Tea, Sharon Tamir, Hiroyuki Hakozaki, Johannes Schöneberg:
MitoTNT: Mitochondrial Temporal Network Tracking for 4D live-cell fluorescence microscopy data. PLoS Comput. Biol. 19(4) (2023) - Tushar Rasal, Thangaraj Veerakumar, Badri Narayan Subudhi, Sankaralingam Esakkirajan:
Fluorescence microscopy image noise reduction using IEMD-based adaptive thresholding approach. Signal Image Video Process. 17(1): 237-245 (2023) - Ge Chen, Jianjun Wang, Hailin Wang, Jinming Wen, Yi Gao, Yongjian Xu:
Fluorescence microscopy images denoising via deep convolutional sparse coding. Signal Process. Image Commun. 117: 117003 (2023) - Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2023: 82-87 - Slo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai:
Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images. EMBC 2023: 1-4 - Mohamad Feshki, Yves De Koninck, Benoit Gosselin:
Deep Learning Empowered Fresnel-based Lensless Fluorescence Microscopy. EMBC 2023: 1-4 - Alice Rosa, Hemaxi Narotamo, Margarida Silveira:
Self-Supervised Segmentation of 3D Fluorescence Microscopy Images Using CycleGAN. EMBC 2023: 1-4 - Tomás Kerepecký, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov:
Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN. ICASSP 2023: 1-5 - Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug:
μSplit: image decomposition for fluorescence microscopy. ICCV 2023: 21162-21172 - Luca Clissa, Antonio Macaluso, Antonio Zoccoli:
Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization. ICIAP Workshops (1) 2023: 179-190 - Lulu Firdaus, Astri Handayani, Donny Danudirdjo:
Rat Mesenchymal Stem Cell Segmentation on Time-lapse Fluorescence Microscopy Video with Two-Dimensional Bandpass Filters. ICT 2023: 1-6 - Yousra Toumi, Anita Mouttou, Florian Lemarchand, Guillaume Demésy, Cihan Koc, Delphine Muriaux, Antonin Moreau, Julien Lumeau, Cyril Favard, Aude L. Lereu:
Resonant Multi-Dielectric Coverslip for Enhanced Total Internal Reflection Fluorescence Microscopy. ICTON 2023: 1-3 - Roman Spilger, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy Images. ISBI 2023: 1-4 - Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three-Dimensional Nuclei Synthesis for Fluorescence Microscopy Image Analysis. ISBI 2023: 1-5 - Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng:
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. MICCAI (8) 2023: 646-655 - Yudong Zhang, Ge Yang:
A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images. MICCAI (8) 2023: 503-513 - Birthe van den Berg, Tom Schrijvers, Peter Dedecker:
sf Fluo: A Domain-Specific Language for Experiments in Fluorescence Microscopy (Application Paper). PADL 2023: 73-82 - Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud:
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM 2023: 498-510 - Jakub Paplhám, Vojtech Franc, Daniela Lzicarová:
Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. VISIGRAPP (4: VISAPP) 2023: 777-784 - Thibaut Eloy, Étienne Baudrier, Marine Laporte, Virginie Hamel, Paul Guichard, Denis Fortun:
Fast and robust single particle reconstruction in 3D fluorescence microscopy. CoRR abs/2301.09452 (2023) - Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud:
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR abs/2303.11212 (2023)
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