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2020 – today
- 2024
[j4]Huy Hoang Nguyen
, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin:
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. IEEE Trans. Medical Imaging 43(1): 529-541 (2024)- [c11]Leon Robertz, Lassi Rieppo, Seppo Korkala, Tommi Jaako, Simo Saarakkala:
Inter- and Intra-Day Precision of a Low-Cost and Wearable Bioelectrical Impedance Analysis Device. NCDHWS (2) 2024: 441-450 - [e2]Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen:
Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I. Communications in Computer and Information Science 2083, Springer 2024, ISBN 978-3-031-59079-5 [contents] - [e1]Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen:
Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II. Communications in Computer and Information Science 2084, Springer 2024, ISBN 978-3-031-59090-0 [contents] - 2023
- [c10]Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin:
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. ISBI 2023: 1-5 - [i18]Neslihan Bayramoglu, Martin Englund, Ida K. Haugen, Muneaki Ishijima, Simo Saarakkala:
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments. CoRR abs/2305.05927 (2023) - [i17]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR abs/2307.00873 (2023) - 2022
- [j3]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. Int. J. Medical Informatics 157: 104627 (2022) - [c9]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. ISBI 2022: 1-5 - [c8]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI 2022: 1-5 - [i16]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR abs/2201.10849 (2022) - [i15]Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin:
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data. CoRR abs/2210.13889 (2022) - [i14]Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin:
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning. CoRR abs/2210.14597 (2022) - 2021
- [i13]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). CoRR abs/2101.04350 (2021) - [i12]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. CoRR abs/2104.03642 (2021) - [i11]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR abs/2106.01700 (2021) - 2020
- [j2]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. IEEE Trans. Medical Imaging 39(12): 4346-4356 (2020) - [c7]Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala:
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. ACIVS 2020: 131-138 - [c6]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. MIUA 2020: 331-345 - [i10]Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. CoRR abs/2003.01944 (2020) - [i9]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR abs/2005.11715 (2020)
2010 – 2019
- 2019
- [j1]Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen:
An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data. IEEE Trans. Medical Imaging 38(2): 417-425 (2019) - [c5]Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. ICCV Workshops 2019: 352-361 - [c4]Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops 2019: 450-459 - [i8]Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala:
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR abs/1904.06236 (2019) - [i7]Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala:
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. CoRR abs/1907.05089 (2019) - [i6]Aleksei Tiulpin, Simo Saarakkala:
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. CoRR abs/1907.08020 (2019) - [i5]Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. CoRR abs/1907.12237 (2019) - [i4]Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR abs/1908.04126 (2019) - [i3]Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala:
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR abs/1908.07736 (2019) - 2017
- [c3]Jukka Kaipala, Miguel Bordallo López, Simo Saarakkala, Jérôme Thevenot:
Automatic Segmentation of Bone Tissue from Computed Tomography Using a Volumetric Local Binary Patterns Based Method. SCIA (2) 2017: 221-232 - [c2]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) 2017: 290-301 - [i2]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala:
A novel method for automatic localization of joint area on knee plain radiographs. CoRR abs/1701.08991 (2017) - [i1]Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala:
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR abs/1710.10589 (2017) - 2014
- [c1]Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen:
Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. ECCV Workshops (2) 2014: 63-79
Coauthor Index
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