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ad-detection-from-3d-brain-mri-data-using-deep-deterministic-convolutional-neural-networks

This repository is related to the thesis paper titled as "ALzheimer's Disease & Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks." This thesis paper was accepted and published by IEEE's 3rd INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY ( I2CT), PUNE, INDIA - 6-8 APRIL, 2018.

ad_prediction

Alzheimer's Disease Prediction by using ResNet, AlexNet

adaboost_cnn

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alzheimers-cnn-study

Website, links, and resources to accompany https://arxiv.org/abs/1904.07950.

alzheimers-prediction

An attempt to diagnose Alzheimer's disease earlier

analysis-on-alzheimer-s

Research Work at Illinois Tech, Chicago

artificial-intelligence-ai

Python codes for A* algo, RBFS algo and IDS algo on 8_PUZZLES problem.

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

brain-mri-classification

canny-edge-detector-in-python

Implemented canny edge detector in python as a course work assignment

classifier

Organize files in your directory instantly, by classifying them into different folders

classiification_using_cnn_and_tripletloss

Classification and Pose estimation using CNN, Quaternion Similarity and Triplet Loss

cnn-adni

MRI-based Diagnosis of Alzheimer’s Disease using Convolutional Neural Networks and Visualization Methods

cnn-localizer

bounding box localizer on images using known roi endpoints

cs231n

Basic operation implementation

cs580-intro-to-artificial-intelligence

Contains notebook implementations for the AI based assignments using graph based algorithms that are commonly used in solving AI based problems. Algorithms include BFS, DFS, Hill Climbing, Differential Evolution, Genetic, Back Tracking..

data-science-training-python-

This is a material for 2 days machine learning workshop conducted in Chennai on Jan 6th and 7th

deep-learning-distilled

Notes on some important deep learning topics and paper summaries

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-metric-learning

CS231N: Project

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deep_learning_adni

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

deepneuralnets--alzheimer

Alzheimer Detection using Deep Neural nets

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)