Pinned Repositories
ACWE
Python implementation of paper Active Contour Without Edges
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
ccrbm
Code for experiments with convolutional classification restricted Boltzmann machines
dicompyler
Extensible radiation therapy research platform and viewer for DICOM and DICOM RT
keras_mixup_generator
How to do mixup training from image files in Keras
keras_to_tensorflow
General code to convert a trained keras model into an inference tensorflow model
mlwithtf
Machine Learning with Tensorflow Book
mritopng
A simple python module to make it easy to batch convert DICOM files to PNG images.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
SamuROI
SamuROI - Structured analysis of multiple user-defined ROIs, an open source Python-based analysis environment for imaging data.
aaasss0636's Repositories
aaasss0636/AM-GCN
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
aaasss0636/AnatomySketch-Software
A medical image segmentation software supporting user interventions and user-defined funtion extention
aaasss0636/BioExp
Explainability of Deep Learning Models
aaasss0636/BonetumorNet
A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs
aaasss0636/context-encoding-chest-xrays
Research Project, Honours Programme @ UvA, 2018
aaasss0636/ddsm-visual-primitives
Using deep learning to discover interpretable representations for mammogram classification and explanation
aaasss0636/explanatoryGraph
Interpreting CNN Knowledge via an Explanatory Graph
aaasss0636/FAE
FeAture Explorer
aaasss0636/FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
aaasss0636/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
aaasss0636/interpretable-ml-book
Book about interpretable machine learning
aaasss0636/interpretableCNN
aaasss0636/learninggo
Learning Go Book in mmark
aaasss0636/LUNA16_Challange
Lung nodule classification / False positives reduction track codes
aaasss0636/MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
aaasss0636/nafld-1d-cnn
1D-CNN models for NAFLD diagnosis and liver fat fraction quantification using radiofrequency ultrasound signals
aaasss0636/PaperScripts
Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.
aaasss0636/pyrsa
Python library for Representational Similarity Analysis
aaasss0636/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
aaasss0636/rsna-intracranial
aaasss0636/RTPB
Code for our paper `Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation`
aaasss0636/SAND_features
aaasss0636/semantic-explainable-AI
The codes and dataset for the semantic explainable AI (S-XAI)
aaasss0636/shapley-attribution-model-zhao-naive
A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
aaasss0636/shapleyValues
This is a simple python script that calculates Shapley Values and their average.
aaasss0636/spatio-temporal-brain
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
aaasss0636/TensorFlow_Engineering_Implementation
The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>
aaasss0636/UG-GAT
aaasss0636/UNet2D_BraTs
aaasss0636/VC-R-CNN
[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''