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james-njcn's Projects

babynet icon babynet

MICCAI2022: BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

bci icon bci

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

blindness-detection-diabetic-retinopathy- icon blindness-detection-diabetic-retinopathy-

This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients

bp-net icon bp-net

Signal-to-Signal translation U-Net to estimate blood pressure.

breast-nodules-detection icon breast-nodules-detection

Project for Signals and Systems discipline aiming the identification of potential nodules on mammograms using Fast Fourier Transform (2022.2)

cervical_cancer_classification icon cervical_cancer_classification

Get the accurate algorithm to classify the cervix type so that the health providers can prevent ineffective treatments and provide exact treatment to the patient.

cervicalfuzzydistanceensemble icon cervicalfuzzydistanceensemble

A fuzzy distance-based ensemble of deep models for cervical cancer detection published in Computer Methods and Programs in Biomedicine, Elsevier

cgm_prediction_lstm icon cgm_prediction_lstm

Machine Learning based Prediction of Glucose Levels on Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data.

dc-unet icon dc-unet

We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

diatrend icon diatrend

Python scripts for producing figures describing the DiaTrend dataset

e-vent icon e-vent

MIT Project: A low cost emergency ventilator controller

ehr-rl icon ehr-rl

The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in order to help prevent hyperglycemia, hypertension and CV risk outcomes.

ffhq-uv icon ffhq-uv

The official repository of our CVPR2023 paper "FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction".

flutter_ali_auth icon flutter_ali_auth

阿里云一键登录,提供接近原生的参数配置,自定义UI界面,配置效果详见实例演示图片,如果插件对你有帮助请帮忙点亮你的小星星予以支持。

glucose_att_rnn icon glucose_att_rnn

This repo will contain the official implementation of the paper "Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks" IJCNN2021

gluformer icon gluformer

The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."

heart-failure-condition-and-survival-analysis icon heart-failure-condition-and-survival-analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

heartnet icon heartnet

Stethoscope Invariant Heart Sound Abnormality Detection, JBHI 20, Interspeech 18, EMBC 18

insulin-need icon insulin-need

Find patterns in insulin need from the OpenAPS commons dataset. Code for NeurIPS TS4H workshop paper 2022

multi-output-glucose-forecasting icon multi-output-glucose-forecasting

The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 2018

offline-glucose icon offline-glucose

The code release for "Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes".

plugins icon plugins

Plugins for Flutter maintained by the Flutter team

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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