tayebiarasteh/ACL_tear tayebiarasteh/ACL_tear

  • Stars
    star
    2
  • Language
    Python
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
tayebiarasteh/ACL_tear
github

tayebiarasteh

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Anterior Cruciate Ligament (ACL) tears diagnosis

More Repositories

1

PV_defect_detection

Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
Python
67
star
2

DeepLearning_from_scratch

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Python
21
star
3

federated_he

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
Python
18
star
4

lane-detection

Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data
Python
14
star
5

retweet

How Will Your Tweet Be Received? Predicting theSentiment Polarity of Tweet Replies
Python
11
star
6

LLMmed

Large Language Models Streamline Automated Machine Learning for Clinical Studies
Python
8
star
7

privacydomain

Securing Collaborative Medical AI by Using Differential Privacy
Python
7
star
8

Bezier_CatmullRom

C# implementation of some mathematical solutions to problems in 3D world generation
C#
7
star
9

sasp

Programming exercises of the Speech and Audio Signal Processing course
MATLAB
5
star
10

DP_CXR

Building an AI model for chest X-ray under patient privacy guarantees
Python
4
star
11

filter_design

MATLAB implementation and analysis of filter design for 2 specific FIR and IIR filters
MATLAB
4
star
12

vit-med

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Python
4
star
13

chestx

Flexible federated learning enables institutions to jointly train deep learning models even when data is non-uniformly labeled. The resulting models are superior to models which are trained with conventional methods.
Python
3
star
14

DiCoLab

MATLAB implementation of basic concepts of Digital Communications
MATLAB
3
star
15

cv_course

Python Implementation of Computer Vision Exercises
Python
3
star
16

pathology_ASV

The effect of speech pathology on automatic speaker verification
Python
1
star
17

osm-extractor

Extracting necessary information defined by the user from the OpenStreetMap
Python
1
star
18

chestx_domain

Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs
Python
1
star