Our solution for ICIAR 2018 Grand Challenge

A breakdown of 100 days encapsulating my journey of learning ROS, starting at the basic and upscaling to advanced concepts

RECOD Titans participation at the ISBI 2017 challenge - Part 3

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

Codes to process and train LIMUC dataset

Artificial Intelligence: Evaluating AI, optimizing AI

Aim of this project is to use Computer Vision techniques of Deep Learning to correctly identify & map Brain Tumor for assistance in Robotic Surgery.

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

📎 About MIMBCD-UI Project

Suspicious Regions-Based Whole Slide Image Analysis

AI based health checkup web tool

Our solution for ICIAR 2018 Grand Challenge BACH dataset

Investigating the reproducibility of federated GNN models

Apna Doctor is an AI based Health Check-Up Web Application

Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

✨ [AVI 2020] A prototype platform for lesion annotations and manual segmentation on breast cancer diagnosis with a multimodality strategy. The work was presented in the Advanced Visual Interfaces (AVI) conference.

Comparison of three techniques of melanoma screening.

A quality control system for automated prostate segmentation on T2-weighted MRI

Convolutional Neural Networks capable of classifying Normal vs. Pneumonia frontal chest radiograph (a set of 32 images in 8 seconds) using Transfer Learning with ResNet50