Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches

Cataloged from PDF version of thesis.

Bibliographic Details
Main Authors:	Shahriar, Farhan, Dey, Amarttya Prasad, Rahman, Naimur, Tasnim, Zarin, Tanvir, Mohammad Zubayer
Other Authors:	Parvez, Zavid
Format:	Thesis
Language:	English
Published:	Brac University 2021
Subjects:	Convolutional Neural Network (CNN) Parkinson’s Disease (PD) Neural Network (NN) fMRI Deep Learning Average Ensemble VGG19 Inception-ResNet-v2 Inception-V3 MobileNet-V1 PPMI
Online Access:	http://hdl.handle.net/10361/14999

Similar Items

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
by: Awwal, Alvina, et al.
Published: (2021)

Citrus leaf disease detection by image processing
by: Chowdhury, Mahir Faisal, et al.
Published: (2024)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
by: Promita, Samanta Tabassum, et al.
Published: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
by: Rahman, Afridi Ibn, et al.
Published: (2022)

Approaching transfer learning to identify correctly worn facial masks
by: Sadid, Tausif, et al.
Published: (2021)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
by: Khan, Farhan Sakib, et al.
Published: (2022)

Diabetic retinopathy detection and classification by using deep learning
by: Hossain, Shahriar, et al.
Published: (2022)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
by: Athina, Fahima Hasan, et al.
Published: (2022)

Tomato leaf disease detection using convolutional neural network
by: Hasan, Md. Riazul, et al.
Published: (2023)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
by: Kobra, Khadija-Tul, et al.
Published: (2022)

A comparative study of lung cancer prediction using deep learning
by: Mugdho, Aka Mohammad, et al.
Published: (2023)

Covid-19 infected lung detection using machine learning
by: Islam, Md. Muntaha, et al.
Published: (2022)

Deep learning-based real-time pothole detection for avoiding road accident
by: Basher, Rafsan, et al.
Published: (2022)

An Efficient deep learning approach to detect Brain Tumor using MRI images
by: Islam, Annur Tasnim, et al.
Published: (2022)

An efficient approach for recyclable waste detection and classification using image processing techniques
by: Chowdhury, Prabal Kumar, et al.
Published: (2024)

An interpretable deep learning approach to detect Alzheimer using MRI images
by: Oni, Farhan Anzum, et al.
Published: (2023)

Skin disease detection and classification using deep learning
by: Shuvon, Mehedi Hasan, et al.
Published: (2022)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
by: Shahriar, Hasan, et al.
Published: (2022)

Smoke detection using deep Convolutional neural network
by: Niloy, Wahidul Hasan, et al.
Published: (2021)

Skin cancer classification for seven types of skin lesions
by: Rahman, Md. Tawsifur, et al.
Published: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
by: Mashraf, Chowdhury Zerif, et al.
Published: (2021)

Analyzing students’ concentration in online courses through Webcam
by: Asif, Md., et al.
Published: (2024)

Brain tumor detection with convolutional neural network
by: Galib, Abrar Tahmid, et al.
Published: (2024)

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
by: Islam, Tahsin, et al.
Published: (2021)

Automatic waste classification using deep learning and computer vision techniques
by: Akash, MD., et al.
Published: (2023)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
by: Ismail, Sayem Mohammad, et al.
Published: (2021)

Violent activity detection through surveillance camera using deep learning
by: Miah, Parvez, et al.
Published: (2023)

Visual object classification from fMRI data
by: Newaz, Syed Mishar, et al.
Published: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
by: Hakim, Talukder Juhaer, et al.
Published: (2024)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
by: Chowdhury, Asif Hasan, et al.
Published: (2023)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
by: Nivrito, AKM, et al.
Published: (2016)

Masked face identification using face recognition
by: Hossen, Tareq, et al.
Published: (2024)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
by: Niaz, H.M, et al.
Published: (2024)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
by: Akhter, Nasrin
Published: (2023)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
by: Haque, Abid Hossain, et al.
Published: (2024)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
by: Neehal, Ahmed Hasin, et al.
Published: (2020)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
by: Choudhury, Prionto Kumar, et al.
Published: (2024)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
by: Hossain, Mohammad Sakib, et al.
Published: (2023)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
by: Farabi, Farhan, et al.
Published: (2023)

Identifying brain abnormalities using image processing and CNN models
by: Talukder, Ismat Shehrin, et al.
Published: (2021)