Aleksei Tiulpin

发表

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks

Simo Saarakkala, Aleksei Tiulpin, Iaroslav Melekhov, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

PyEGEG. Library for analysis of electrogastroenterograms

Aleksei Tiulpin, Aleksandr Popov, 2014 .

A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs pdf

Simo Saarakkala, Esa Rahtu, Aleksei Tiulpin, 2017, SCIA.

DGC-Net: Dense Geometric Correspondence Network

Torsten Sattler, Marc Pollefeys, Esa Rahtu, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

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

Simo Saarakkala, Esa Rahtu, Aleksei Tiulpin, 2019, Scientific Reports.

Breast Tumor Cellularity Assessment using Deep Neural Networks

Aleksei Tiulpin, Alexander Rakhlin, Sergey Nikolenko, 2019, bioRxiv.

DeepKnee: Towards open source fully-automatic Kellgren-Lawrence grading

Simo Saarakkala, Aleksei Tiulpin, E. Panfilov, 2019, Osteoarthritis and Cartilage.

Fully automatic deep learning based segmentation of bone-cartilage interface from micro-CT images of human osteochondral samples

Simo Saarakkala, Heikki J. Nieminen, Aleksei Tiulpin, 2018 .

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation

Stefan Klein, Simo Saarakkala, Aleksei Tiulpin, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

EGEGrouper: software for data organization in electrogastroenterography

Aleksei Tiulpin, Aleksandr Popov, 2015 .

Deep Learning for Wrist Fracture Detection: Are We There Yet? pdf

Aleksei Tiulpin, Abu Mohammed Raisuddin, Osmo Tervonen, 2020, ArXiv.

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

Matthew B. Blaschko, Simo Saarakkala, Matthew Blaschko, 2020, IEEE Transactions on Medical Imaging.

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

Simo Saarakkala, Heikki J. Nieminen, Aleksei Tiulpin, 2019, ACIVS.

Evaluation of WAMP protocol in real-time remote ECG monitoring

Tapio Seppänen, Kai Noponen, Aleksei Tiulpin, 2017 .

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks pdf

Simo Saarakkala, Aleksei Tiulpin, A. Tiulpin, 2019, Diagnostics.

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

Simo Saarakkala, Esa Rahtu, Aleksei Tiulpin, 2017, Scientific Reports.

Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis

Simo Saarakkala, Aleksei Tiulpin, Neslihan Bayramoglu, 2019, Osteoarthritis and cartilage.

Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio

Aleksei Tiulpin, Iaroslav Melekhov, Roman Solovyev, 2020, ACIVS.

Scripts for automatic classification of EGEG data

Aleksei Tiulpin, 2015 .

Breast Tumor Cellularity Assessment Using Deep Neural Networks

Aleksei Tiulpin, Sergey Nikolenko, Alexandr A. Kalinin, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Scripts used in study "Automatic classification of disorders of stomach and duodenum using electrogastroenterography."

Aleksei Tiulpin, 2015 .

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning

Simo Saarakkala, Aleksei Tiulpin, Miika T. Nieminen, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Greedy Bayesian Posterior Approximation with Deep Ensembles pdf

Matthew B. Blaschko, Aleksei Tiulpin, A. Tiulpin, 2021, Trans. Mach. Learn. Res..

Targeted Active Learning for Bayesian Decision-Making pdf

Samuel Kaski, Aleksei Tiulpin, Iiris Sundin, 2021, ArXiv.

DeepProg: A Transformer-based Framework for Predicting Disease Prognosis pdf

Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin, 2021, ArXiv.

CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting

Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin, 2021, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Gray Matter Age Prediction as a Biomarker for Risk of Dementia

Wiro J Niessen, Marleen de Bruijne, Aleksei Tiulpin, 2019, Proceedings of the National Academy of Sciences.

Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study

Marleen de Bruijne, Wiro J. Niessen, Aleksei Tiulpin, 2019, bioRxiv.