Intelligent Medical Systems Research Group

OAProgression

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

DeepKnee

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

greedy_ensembles_training

Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)

solt

Streaming over lightweight data transformations

KNEEL

Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

AdaTriplet

pytorch_bn_fusion

Batch normalization fusion for PyTorch

stambo

Statistical model comparison with bootstrap and beyond

KneeOARSIGrading

Grading individual knee osteoarthritis features using Deep Learning

CLIMATv2

CLIMATv2: Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data

imedslab/SAUNA

SAUNA: Image-level Regression for Uncertainty-aware Retinal Image Segmentation

imedslab/solt

Streaming over lightweight data transformations

imedslab/spineslicer

imedslab/LoG-VMamba

LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation

imedslab/SiNGR

SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

imedslab/KNEEL

Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

imedslab/lsmodels

Lumbar Spine Models for Segmentation and Grading

imedslab/stambo

Statistical model comparison with bootstrap and beyond

imedslab/DeepWrist

Deep Learning Pipeline for Wrist Fracture Detection

imedslab/DeepKnee

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

imedslab/semixup

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

imedslab/OAProgressionMR

Prediction of knee osteoarthritis progression from DESS MRI

imedslab/OAProgressionMMF

imedslab/contrib

All the public/open source software components for Aivero (GitLab Mirror)

imedslab/CLIMATv2

CLIMATv2: Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data

imedslab/ISBI2023_PfirrmannGrading

Project Page for ISBI 2023 Submission

imedslab/PfirrmannGrading

imedslab/greedy_ensembles_training

Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)

imedslab/CLIMAT

CLIMAT: Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multi-modal Data

imedslab/AdaTriplet

imedslab/OAProgression

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

imedslab/KneeOARSIGrading

Grading individual knee osteoarthritis features using Deep Learning

imedslab/pytorch_bn_fusion

Batch normalization fusion for PyTorch

imedslab/KneeLocalizer

Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.