Introduction on MONAI and its bootcamp-2021, and own developed package seg-metrics

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Date: November 11, 2021

A brief introduction on MONAI (a PyTorch-based framework for deep learning in healthcare imaging) and my experience on MONAI bootcamp 2021 (https://www.gpuhackathons.org/event/monai-miccai-bootcamp-2021). All materials are here.

I also introduced my own developed package seg-metrics (https://pypi.org/project/seg-metrics/): a simple package to compute different metrics for Medical image segmentation.

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Multi-task Semi-supervised Deep Learning for lung lobe segmentation in CT

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Published: January 13, 2021

On Monday’s Lab Meeting, I gave a presentation on my current work: Multi-task Semi-supervised Deep Learning for lung lobe segmentation in CT.

Introduction on Mandarin

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Published: April 08, 2021

This is a casual and brief introduction on Mandarin Chinese. The used material is here.

Multi-task semi-supervised learning for pulmonary lobe segmentation

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Published: April 13, 2021

ISBI 2021 was hold online because of Covid-19. I gave the presentation of our accepted paper.

Prediction of Lung CT Scores of Systemic Sclerosis by an End-to-end Fully Automatic Framework using Deep Learning

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Published: June 07, 2021

On Monday’s Lab Meeting, I gave a presentation on my work: Prediction of Lung CT Scores of Systemic Sclerosis by an End-to-end Fully Automatic Framework using Deep Learning.

Jingnan Jia

Introduction on MONAI and its bootcamp-2021, and own developed package seg-metrics

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