Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels

An example of easytorch implementation on retinal vessel segmentation.

causalimages: An R package for performing causal inference with image and image sequence data

Fully automatic brain tumor segmentation using the Modified 3DUNet architecture for Brats 2020 Challenge.

Handling whole-slide images with region-level annotations.

Code for brain tumor segmentaion

H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net

This repository contains all the image processing algorithms studied in discipline "Imagens Biomédicas" of Biomedical Engineering course at UNIFESP in the first semester of 2017. All the algorithms are written in both MatLab and Python Languages.

sMRI based depression classification using 3D volumetric convolutional networks

Biomedical Image Analysis with TensorFlow and DLTK

causalimages: An R package for performing causal inference with image and image sequence data

This repository contains all the algorithms studied in discipline "Calculo Numerico" of Biomedical Engineering course at UNIFESP in the second semester of 2018.

This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.

My assignments and projects concerned with Biomedical Engineering

An entry to the ISBI 2021 Cell Tracking Challenge that uses a Mask R-CNN neural network to detect and segment cells in 2D and 3D microscopy

Deep learning for cellular and sub-cellular segmentation made easy.

Lung Preneoplasia Progression via Pathomics