Antti Hyvärinen's Projects
Covid SIR modeling with bayesian parameter estimation.
Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028 See also http://www.ioexplorer.org for interactive visuallization
Classification of Lung cancer slide images using deep-learning
Deep Learning Toolkit for Medical Image Analysis
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Lääkekorvaukset kunnittain
Hila, Fimea julkiset datat yhteen
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Models and examples built with TensorFlow
A repository that houses example code, applications and teaching material related to QuantEcon
Skattning av peakdag och antal infekterade i covid-19-utbrottet i Stockholms län februari-april 2020.
SEIR model for COVID-19 infection, including different clinical trajectories of infection
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
U-Net Brain Tumor Segmentation in TensorFlow
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML