Official Pytorch Code base for "MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation"

3D virtual staining with 2D and 2.5D U-Nets

An example of easytorch implementation on retinal vessel segmentation.

3D cerebrovascular volume segmentation in Pytorch.

Model training code for "A seasonally invariant deep transform for visual terrain-relative navigation"

Monitor and analyze plant growth conditions by computing geometric and color traits from any top-view image dataset

Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.

U-Net

Utilizing U-NET deep-learning to deconvolve Structured Illumination Microscopy (SIM) Images. A clean and concise python implemenation.

This research work basically highlights my undergrad thesis works. In my thesis, I have worked on the BraTS 2020 dataset. My total journey of thesis from building various models to writing paper is presented here.

Monte Carlo dropout method for uncertainty quantification in image segmentation

MICCAI2019: 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

Segmentation of cancerous tumors using Mamba. Video / paper to be provided in future.

U-NET implementation for Image Segmentation

crystal structure analysis with RHEED and ML

Modular PyTorch U-Net model

U-Net and SegNet

Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.

Project outside of course scope at (BSc) Machine Learning and Data Science education programme. Colab between NGI and DIKU at University of Copenhagen.

Implementation of U-net and pipeline of changing color on human hair.