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OPTONET: neural network for visual field diagnosis

https://doi.org/10.1007/bf02523047
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/archopht.1984.01040030024027openalex-snapshot
Computerized Video Screen Perimetry
inferredcites →https://doi.org/10.1007/3-540-52255-7_32openalex-snapshot
Acceleration techniques for the backpropagation algorithm
inferredcites →https://doi.org/10.1007/bf00204596openalex-snapshot
On the ability of neural networks to perform generalization by induction
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1007/bf02457822openalex-snapshot
Review of neural network applications in medical imaging and signal processing
inferredcites →https://doi.org/10.1016/0010-4809(92)90011-xopenalex-snapshot
A neural network architecture for understanding discrete three-dimensional scenes in medical imaging
inferredcites →https://doi.org/10.1016/0019-0578(90)90024-fopenalex-snapshot
Artificial neural systems
inferredcites →https://doi.org/10.1016/0893-6080(88)90021-4openalex-snapshot
Nonlinear neural networks: Principles, mechanisms, and architectures
inferredcites →https://doi.org/10.1016/s0364-0213(82)80001-3openalex-snapshot
Connectionist Models and Their Properties
inferredcites →https://doi.org/10.1109/29.1638openalex-snapshot
Layered neural nets for pattern recognition
inferredcites →https://doi.org/10.1109/5.58325openalex-snapshot
The self-organizing map
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1364/ao.26.004919openalex-snapshot
ART 2: self-organization of stable category recognition codes for analog input patterns
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1001/archopht.1997.01100150727005openalex-snapshot
Automatic Detection of Glaucomatous Visual Field Progression With Neural Networks
inferred← citeshttps://doi.org/10.1002/ijc.10620openalex-snapshot
Automated diagnosis of pigmented skin lesions
inferred← citeshttps://doi.org/10.1007/3-540-36104-9_21openalex-snapshot
An Artificial Neural Network for 3D Localization of Brainstem Functional Lesions
inferred← citeshttps://doi.org/10.1007/bf02344869openalex-snapshot
Three-dimensional mapping of brainstem functional lesions
inferred← citeshttps://doi.org/10.1016/j.tube.2017.09.006openalex-snapshot
Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review
inferred← citeshttps://doi.org/10.1016/s0002-9394(02)01836-6openalex-snapshot
Neural networks to identify glaucomatous visual field progression
inferred← citeshttps://doi.org/10.1034/j.1600-0846.2001.00350.xopenalex-snapshot
Digital dermoscopy analysis of atypical pigmented skin lesions: a stepwise logistic discriminant analysis approach
inferred← citeshttps://doi.org/10.1109/iembs.1992.5761235openalex-snapshot
Neural networks trained by a genetic algorithm for visual field diagnosis
inferred← citeshttps://doi.org/10.1177/135245859800400207openalex-snapshot
Computerized color perimetry in multiple sclerosis
inferred← citeshttps://doi.org/10.4137/cin.s5950openalex-snapshot
Skin Cancer Recognition by Using a Neuro-Fuzzy System
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