PhagoStat a scalable and interpretable end to end framework for
efficient quantification of cell phagocytosis in neurodegenerative disease
studies

v1v2 (latest)

PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies

26 April 2023

Morwena Latouche

Daniel Racoceanu

ArXiv (abs)PDF HTML Github (4★)

Papers citing "PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies"

19 / 19 papers shown

Title
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation Peixian Liang Yizhe Zhang Yifan Ding Jianxu Chen C. S. Madukoma Tim Weningerc J. Shrout Danny Chen 28 9 0 02 Jun 2022
NeuRegenerate: A Framework for Visualizing Neurodegeneration S. Boorboor Shawn Mathew M. Ananth D. Talmage L. Role Arie Kaufman MedIm 45 3 0 02 Feb 2022
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 101 667 0 22 Jul 2021
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture Tiange Xiang Chaoyi Zhang Dongnan Liu Yang Song Heng-Chiao Huang Weidong (Tom) Cai SSeg 52 82 0 01 Jul 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 130 6,321 0 22 Oct 2019
J Regularization Improves Imbalanced Multiclass Segmentation F. Guerrero-Peña Pedro Diamel Marrero Fernández Paul T. Tarr Ing Ren Tsang E. Meyerowitz Alexandre Cunha 56 30 0 22 Oct 2019
Cell Detection with Star-convex Polygons Uwe Schmidt Martin Weigert Coleman Broaddus E. Myers 71 1,114 0 09 Jun 2018
Microscopy Cell Segmentation via Convolutional LSTM Networks Assaf Arbelle Tammy Riklin-Raviv 61 73 0 29 May 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 161 5,068 0 11 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,194 0 07 Feb 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 119 2,311 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 800 132,454 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 369 27,253 0 20 Mar 2017
Deep Watershed Transform for Instance Segmentation Min Bai R. Urtasun ISeg SSeg 128 524 0 24 Nov 2016
Deep Interactive Object Selection N. Xu Brian L. Price Scott D. Cohen Jimei Yang Thomas Huang 68 429 0 13 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
scikit-image: Image processing in Python Stéfan van der Walt Johannes L. Schonberger Juan Nunez-Iglesias François Boulogne Joshua D. Warner Neil Yager Emmanuelle Gouillart Tony Yu the scikit-image contributors SSeg GP VLM 198 4,351 0 23 Jul 2014