Simo Saarakkala

37 papers B 1Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	End-to-End Prediction of Knee Osteoarthritis Progression With Multimodal Transformers. IEEE J. Biomed. Health Informatics Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2025	J	`jnl`	Predictive Performance of Raman Spectroscopy in Osteoarthritis: A Systematic Review. J. Medical Syst. Monira Yesmean, Bijay Ratna Shakya, Minna Mannerkorpi, Simo Saarakkala, Miia Jansson
2024	J	`jnl`	Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. IEEE Trans. Medical Imaging Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I NCDHWS (1) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	—	`ed.`	Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II NCDHWS (2) Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024	—	`conf`	Inter- and Intra-Day Precision of a Low-Cost and Wearable Bioelectrical Impedance Analysis Device. NCDHWS (2) Leon Robertz, Lassi Rieppo, Seppo Korkala, Tommi Jaako, Simo Saarakkala
2023	—	`conf`	A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. ISBI Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin
2023	J	`jnl`	Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments. CoRR Neslihan Bayramoglu, Martin Englund, Ida K. Haugen, Muneaki Ishijima, Simo Saarakkala
2023	J	`jnl`	End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2022	J	`jnl`	A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning. CoRR Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin
2022	—	`conf`	CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. ISBI Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2022	J	`jnl`	Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data. CoRR Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
2022	J	`jnl`	Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. Int. J. Medical Informatics Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2022	—	`conf`	Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2022	J	`jnl`	Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2021	J	`jnl`	Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2021	J	`jnl`	DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. CoRR Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2021	J	`jnl`	Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	—	`conf`	A Lightweight CNN and Joint Shape-Joint Space (JS MIUA Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	J	`jnl`	A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	B	`conf`	Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. ACIVS Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
2020	J	`jnl`	Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. IEEE Trans. Medical Imaging Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2020	J	`jnl`	Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. CoRR Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
2019	J	`jnl`	Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data. IEEE Trans. Medical Imaging Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen
2019	J	`jnl`	Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. CoRR Aleksei Tiulpin, Simo Saarakkala
2019	J	`jnl`	Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. CoRR Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
2019	—	`conf`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2019	—	`conf`	KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. ICCV Workshops Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
2019	J	`jnl`	KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. CoRR Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
2019	J	`jnl`	Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
2017	—	`conf`	A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
2017	J	`jnl`	A novel method for automatic localization of joint area on knee plain radiographs. CoRR Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
2017	J	`jnl`	Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala
2017	—	`conf`	Automatic Segmentation of Bone Tissue from Computed Tomography Using a Volumetric Local Binary Patterns Based Method. SCIA (2) Jukka Kaipala, Miguel Bordallo López, Simo Saarakkala, Jérôme Thevenot
2014	—	`conf`	Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. ECCV Workshops (2) Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen