ALFA-PRF: a novel approach to detect murine perforin release from CTLs into the immune synapse by Jesse A. Rudd-Schmidt, Romain F. Laine, Romain F. Laine, Romain F. Laine, Tahereh Noori, Tahereh Noori, Amelia J. Brennan, Ilia Voskoboinik, Ilia Voskoboinik

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Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks by Nanyan Zhu, Chen Liu, Andrew F. Laine, Jia Guo

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Application of Super-Resolution and Advanced Quantitative Microscopy to the Spatio-Temporal Analysis of Influenza Virus Replication by Emma Touizer, Christian Sieben, Ricardo Henriques, Mark Marsh, Romain F. Laine

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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

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Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods by Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor

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Quantitative imaging of tongue kinematics during infant feeding and adult swallowing reveals highly conserved patterns by Catherine W. Genna, Yiela Saperstein, Scott A. Siegel, Andrew F. Laine, David Elad

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Anatomical brain images alone can accurately diagnose chronic neuropsychiatric illnesses. by Ravi Bansal, Lawrence H Staib, Andrew F Laine, Xuejun Hao, Dongrong Xu, Jun Liu, Myrna Weissman, Bradley S Peterson

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Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure by Romain F Laine, Gemma Goodfellow, Laurence J Young, Jon Travers, Danielle Carroll, Oliver Dibben, Helen Bright, Clemens F Kaminski

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Single-Molecule Super-Resolution Imaging of T-Cell Plasma Membrane CD4 Redistribution upon HIV-1 Binding by Yue Yuan, Caron A. Jacobs, Isabel Llorente Garcia, Pedro M. Pereira, Scott P. Lawrence, Romain F. Laine, Mark Marsh, Ricardo Henriques

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Influenza and pneumococcal vaccine coverage among adults hospitalized with acute respiratory infection in France: A prospective cohort study by Simon Rolland, LB. Luong Nguyen, A. Descamps, F. Galtier, X. Duval, P. Vanhems, F. Lainé, P. Tattevin, R. Bauer, O. Launay

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Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks by Nabil Ettehadi, Pratik Kashyap, Xuzhe Zhang, Yun Wang, David Semanek, Karan Desai, Jia Guo, Jia Guo, Jonathan Posner, Andrew F. Laine

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Single Molecule Translation Imaging Visualizes the Dynamics of Local β-Actin Synthesis in Retinal Axons by Florian Ströhl, Julie Qiaojin Lin, Romain F. Laine, Hovy Ho-Wai Wong, Vasja Urbančič, Roberta Cagnetta, Christine E. Holt, Clemens F. Kaminski

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Automated cell tracking using StarDist and TrackMate [version 1; peer review: 2 approved, 1 approved with reservations] by Elnaz Fazeli, Nathan H. Roy, Gautier Follain, Romain F. Laine, Lucas von Chamier, Pekka E. Hänninen, John E. Eriksson, Jean-Yves Tinevez, Guillaume Jacquemet

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Automated cell tracking using StarDist and TrackMate [version 2; peer review: 3 approved] by Elnaz Fazeli, Nathan H. Roy, Gautier Follain, Romain F. Laine, Lucas von Chamier, Pekka E. Hänninen, John E. Eriksson, Jean-Yves Tinevez, Guillaume Jacquemet

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Automating multimodal microscopy with NanoJ-Fluidics by Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, Christina L. Dix, Guillaume Charras, Buzz Baum, Romain F. Laine, Christophe Leterrier, Ricardo Henriques

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DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches by Christoph Spahn, Estibaliz Gómez-de-Mariscal, Romain F. Laine, Pedro M. Pereira, Lucas von Chamier, Mia Conduit, Mariana G. Pinho, Guillaume Jacquemet, Séamus Holden, Mike Heilemann, Ricardo Henriques

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Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in Caenorhabditis elegans by Chaolie Huang, Sara Wagner-Valladolid, Amberley D Stephens, Raimund Jung, Chetan Poudel, Tessa Sinnige, Marie C Lechler, Nicole Schlörit, Meng Lu, Romain F Laine, Claire H Michel, Michele Vendruscolo, Clemens F Kaminski, Gabriele S Kaminski Schierle, Della C David

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Deep learning of MRI contrast enhancement for mapping cerebral blood volume from single-modal non-contrast scans of aging and Alzheimer's disease brains by Chen Liu, Nanyan Zhu, Haoran Sun, Junhao Zhang, Xinyang Feng, Sabrina Gjerswold-Selleck, Dipika Sikka, Xuemin Zhu, Xueqing Liu, Tal Nuriel, Hong-Jian Wei, Cheng-Chia Wu, J. Thomas Vaughan, Andrew F. Laine, Frank A. Provenzano, Scott A. Small, Scott A. Small, Scott A. Small, Jia Guo, Jia Guo

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Democratising deep learning for microscopy with ZeroCostDL4Mic by Lucas von Chamier, Romain F. Laine, Johanna Jukkala, Christoph Spahn, Daniel Krentzel, Elias Nehme, Martina Lerche, Sara Hernández-Pérez, Pieta K. Mattila, Eleni Karinou, Séamus Holden, Ahmet Can Solak, Alexander Krull, Tim-Oliver Buchholz, Martin L. Jones, Loïc A. Royer, Christophe Leterrier, Yoav Shechtman, Florian Jug, Mike Heilemann, Guillaume Jacquemet, Ricardo Henriques

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Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping reviewResearch in context by Manasvi Singh, Ashish Kumar, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Gavino Faa, Amer M. Johri, Laura E. Mantella, Jose Fernandes E. Fernandes, Jagjit S. Teji, Narpinder Singh, Mostafa M. Fouda, Rajesh Singh, Aditya Sharma, George Kitas, Vijay Rathore, Inder M. Singh, Kalyan Tadepalli, Mustafa Al-Maini, Esma R. Isenovic, Seemant Chaturvedi, Deepak Garg, Kosmas I. Paraskevas, Dimitri P. Mikhailidis, Vijay Viswanathan, Manudeep K. Kalra, Zoltan Ruzsa, Luca Saba, Andrew F. Laine, Deepak L. Bhatt, Jasjit S. Suri

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