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

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

Artificial Intelligence: Evaluating AI, optimizing AI

AI based health checkup web tool

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

📎 About MIMBCD-UI Project

Our solution for ICIAR 2018 Grand Challenge BACH dataset

Suspicious Regions-Based Whole Slide Image Analysis

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

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

Investigating the reproducibility of federated GNN models

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.

Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

Cardiac MR image processing.