mmiv-ml Goto Github PK

bmed365

Computational imaging, modeling and AI in biomedicine (BMED365) - course material 2024

brief-ibs

Code and data accompanying the paper "Assessment of self-reported executive function in irritable bowel syndrome using a machine learning framework" J. Clin. Med. 2023;12:3771

cervical-cancer-segmentation-2022

chatgpt-medfakdagen-20230419

ChatGPT på Fakultetets dag ved Det medisinske fakultet 19. april 2023 - Hva er ChatGPT og hvordan fungerer det?

combat-covid-19

Help combating COVID-19 using multi-scale real-time data recordings and computational approaches in the spirit of community-driven and open science

dlmi2018

Source material for "An overview of deep learning in medical imaging focusing on MRI", ZMP 2018

elmed219

Artificial intelligence and computational medicine (ELMED219) - course material 2024

elmed219-2022

Material for the 2022 version of the course ELMED219, UiB and HVL

elmed219-2023

Material for the 2023 version of the course ELMED219, UiB and HVL

elmed219-2024

Artificial intelligence and computational medicine (ELMED219) - course material 2024

elmed219-2025

Artificial intelligence and computational medicine (ELMED219) - course material 2024

fastmonai

Simplifying deep learning for medical imaging

hvl-mmiv-dln-ai-2022

Course website for the 2022 version of the DLN course "A hands-on course on artificial intelligence in computational biotechnology and medicine"

hvl-rad230

RAD230 - Medisinsk bildebehandling, kunstig intelligens og innovasjon i radiografi (HVL)

inattention-populationsample

Material from the article on predicting academic achievement from inattention (PLOS ONE, 2017)

kidneysegm

Kidney segmentation in MR images: data and code examples

lung-ct-fastai-2020

Code to reproduce the results in "Pulmonary nodule classification in lung cancer from 3D thoracic CT scans"

lvv-ri

Material from our article on lateral ventricle volume trajectories and response inhibition (PLOS ONE, 2019)

lvv-ri-new

Linear mixed effects models applied to longitudinal imaging (e.g. lateral ventricle volumes) and behaviour data

nordoc2022

Material from the lecture and workshop on deep learning in medical imaging during NorDoc 2022

ore_psych_ml_ibs

Code accompanying "A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome"

presimal2022

Material from a workshop in the PRESIMAL Autumn Research School 2022

skull-stripping-nik2020