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Pages

About me

Posts

portfolio

publications

Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction

Published in NeurIPS 2023 Datasets and Benchmark Track, 2023

We provide benchmarking toolkit, including architecture implementations, clinical metric evaluation, benchmarking tasks, data preprocessing utils for Biplanar X-ray to 3D Shape Reconstruction.

Recommended citation: Shakya, Mahesh, and Bishesh Khanal. "Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction." (2023) https://arxiv.org/pdf/2309.13587

talks

AI and Medical Image Informatics

Published:

Showcased our (then) current work in Biplanar X-ray to 3D Bone Shape Reconstruction. Explained what Medical Image Informatics is and how AI and specifically Deep Learning (Learning from Data) has improved the state-of-the-art in Vision tasks. Additionally, described the challenges in bringing these breakthroughs into the clinician’s hands including robustness, uncertainty estimation, out-of-distribution(OOD) issues.

OpenScience(OpenCode+OpenData+OpenPaper)

Published:

Described what we do at NAAMII and how we are committed towards OpenScience. This included my own experience with facing reproducibility issues when exploring relevant literature in Biplanar X-ray to 3D Shape Reconstruction and how we have tried to address that by providing an opensource framework to the community for other researchers to build upon.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.