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03/16/2023
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data
Patient outcome prediction is critical in management of ischemic stroke....
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01/23/2023
DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis
Computational pathology tasks have some unique characterises such as mul...
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05/11/2022
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients
Clinical outcome prediction plays an important role in stroke patient ma...
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04/01/2021
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
The problem of recognizing various types of tissues present in multi-gig...
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06/19/2018
Magnetic Resonance Spectroscopy Quantification using Deep Learning
Magnetic resonance spectroscopy (MRS) is an important technique in biome...
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03/29/2018
Bag of Recurrence Patterns Representation for Time-Series Classification
Time-Series Classification (TSC) has attracted a lot of attention in pat...
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10/02/2017
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Convolutional Neural Networks (CNN) has achieved a great success in imag...
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12/14/2013
ECOC-Based Training of Neural Networks for Face Recognition
Error Correcting Output Codes, ECOC, is an output representation method ...
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12/14/2013