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Chris Gorman
Chris Gorman
Software Engineer, Mass General Hospital
Verifierad e-postadress på mgh.harvard.edu - Startsida
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Highdicom: A python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
CP Bridge, C Gorman, S Pieper, SW Doyle, JK Lennerz, ...
Journal of Digital Imaging, 1-19, 2022
122022
Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology
C Gorman, D Punzo, I Octaviano, S Pieper, WJR Longabaugh, DA Clunie, ...
Nature Communications 14 (1), 1572, 2023
82023
Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors
C Gorman, A Robins, A Knott
Neural Networks, 2017
62017
A neural network model of hierarchical category development
C Gorman, A Knott
COGSCI 2016, 2016
32016
GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network
C Gorman, I Valova
The Computer Journal 59 (6), 875-888, 2016
22016
A Convolutional Self-organizing Map for Visual Category Learning.
C Gorman, L Szymanski, AV Robins, A Knott
CogSci, 3275, 2019
12019
On Learning Object Properties in Convolutional Neural Networks Via an Inhibition of Return (IOR) Mechanism
L Szymanski, C Gorman, A Knott, B McCane, M Takac
Department of Computer Science, University of Otago, 2018
12018
No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps
C Gorman, C Rogers, I Valova
Open Computer Science 5 (1), 1-12, 2015
12015
Corrigendum to" Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors"[Neural Netw. 91 (2017 …
C Gorman, A Robins, A Knott
Neural networks: the official journal of the International Neural Network …, 2019
2019
Optimizations of the Gravitationally Organized Related Mapping ANN through Genetic Algorithms
C Gorman, I Valova
Procedia Computer Science 36, 529-534, 2014
2014
Department of Computer Science, University of Otago
L Szymanski, C Gorman, A Knott, B McCane, M Takac
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Artiklar 1–11