Aleksei Tiulpin

About Aleksei Tiulpin

Aleksei Tiulpin, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Machine Learning in Medicine, Deep Learning, Bayesian Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors

Clinical super-resolution computed tomography of bone microstructure: application in musculoskeletal and dental imaging

Metrics reloaded: recommendations for image analysis validation

Understanding metric-related pitfalls in image analysis validation

Beyond classification: Definition and density-based estimation of calibration in object detection

Quantification of Upper Limb Movements in Patients with Hereditary or Idiopathic Ataxia

Clinically-inspired multi-agent transformers for disease trajectory forecasting from multimodal data

Aleksei Tiulpin Information

University

Position

___

Citations(all)

1558

Citations(since 2020)

1532

Cited By

384

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Aleksei Tiulpin Skills & Research Interests

Machine Learning in Medicine

Deep Learning

Bayesian Inference

Top articles of Aleksei Tiulpin

Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study

Spine

2024/5/1

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors

2024/4/18

Clinical super-resolution computed tomography of bone microstructure: application in musculoskeletal and dental imaging

Annals of Biomedical Engineering

2024/2/15

Beyond classification: Definition and density-based estimation of calibration in object detection

2024

Teodora Popordanoska
Teodora Popordanoska

H-Index: 1

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

Quantification of Upper Limb Movements in Patients with Hereditary or Idiopathic Ataxia

The Cerebellum

2023/12

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

Clinically-inspired multi-agent transformers for disease trajectory forecasting from multimodal data

IEEE transactions on medical imaging

2023/9/6

Huy Hoang Nguyen
Huy Hoang Nguyen

H-Index: 2

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers

arXiv preprint arXiv:2307.00873

2023/7/3

Egor Panfilov
Egor Panfilov

H-Index: 1

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion

2023

A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning

2023/4/18

Huy Hoang Nguyen
Huy Hoang Nguyen

H-Index: 2

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

External validation of SpineNet, an open-source deep learning model for grading lumbar disk degeneration MRI features, using the Northern Finland birth cohort 1966

Spine

2022

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and cartilage

2023/1/1

Deep semi-supervised active learning for knee osteoarthritis severity grading

2022/3/28

Huy Hoang Nguyen
Huy Hoang Nguyen

H-Index: 2

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

Predicting knee osteoarthritis progression from structural MRI using deep learning

2022/3/28

Egor Panfilov
Egor Panfilov

H-Index: 1

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series

Journal of pathology informatics

2022/1/1

Predicting total knee arthroplasty from ultrasonography using machine learning

Osteoarthritis and Cartilage Open

2022/12/1

AdaTriplet: Adaptive gradient triplet loss with automatic margin learning for forensic medical image matching

2022/9/16

Greedy Bayesian posterior approximation with deep ensembles

arXiv preprint arXiv:2105.14275

2021/5/29

Aleksei Tiulpin
Aleksei Tiulpin

H-Index: 8

Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative

Journal of Orthopaedic Research®

2022/5

See List of Professors in Aleksei Tiulpin University(Aalto-yliopisto)

Co-Authors

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