phiwei
PhD student at the department for medical epidemiology and biostatistics at Karolinska Institute
Karolinska InstituteStockholm, Sweden
Pinned Repositories
ANHIR_MW
Atten_Deep_MIL
Attention-based Deep MIL implementation and application
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
BIRL
BIRL: Benchmark on Image Registration methods with Landmark validations
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
cnn_gaussian_process_uncertainty
Use Gaussian processes to estimate CNN classification uncertainty
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
DeepLoc
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
prostate_coexpression
tensor_bot
Keras callbacks for Twitter and Telegram bots to monitor model fitting
phiwei's Repositories
phiwei/prostate_coexpression
phiwei/tensor_bot
Keras callbacks for Twitter and Telegram bots to monitor model fitting
phiwei/ANHIR_MW
phiwei/BIRL
BIRL: Benchmark on Image Registration methods with Landmark validations
phiwei/Atten_Deep_MIL
Attention-based Deep MIL implementation and application
phiwei/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
phiwei/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
phiwei/cnn_gaussian_process_uncertainty
Use Gaussian processes to estimate CNN classification uncertainty
phiwei/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
phiwei/DeepLoc
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
phiwei/DeepSurv
DeepSurv is a deep learning approach to survival analysis.
phiwei/disease-detection
phiwei/DNNSurv
phiwei/HistomicsTK
A Python library for pathology image analysis algorithms.
phiwei/HistoReg
Framework for registration of sequential digitized histology slices
phiwei/keras-applications
Reference implementations of popular deep learning models.
phiwei/keras-retinanet
Keras implementation of RetinaNet object detection.
phiwei/maastricht
phiwei/machine-learning-scripts
Collection of scripts and tools related to machine learning
phiwei/MIL-nature-medicine-2019
phiwei/misc
phiwei/mixmatch
phiwei/mnist
phiwei/NuCLS
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
phiwei/pathology-cyclegan-stain-transformation
phiwei/predictive_modelling_lab
phiwei/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
phiwei/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
phiwei/roipoly.py
Select a polygonal region of interest (ROI) with python and matplotlib, similar to the roipoly.m function from MATLAB.
phiwei/SPECREG