L. Annala

发表

FPI Based Hyperspectral Imager for the Complex Surfaces—Calibration, Illumination and Applications

H. Saari, I. Pölönen, A. Ranki, 2022, Sensors.

An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

S. Äyrämö, J. Paloneva, O. Lainiala, 2022, Diagnostics.

Miniature MOEMS hyperspectral imager with versatile analysis tools

Antti Näsilä, Heikki Saari, Ilkka Pölönen, 2019, OPTO.

Kubelka–Munk Model and Stochastic Model Comparison in Skin Physical Parameter Retrieval

I. Pölönen, L. Annala, 2021, Intelligent Systems, Control and Automation: Science and Engineering.

Practical Approach for Hyperspectral Image Processing in Python

Ilkka Pölönen, Leevi Annala, Matti A. Eskelinen, 2018 .

Method for Automatic Assessment of Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

S. Äyrämö, J. Paloneva, O. Lainiala, 2022, SSRN Electronic Journal.

Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network

Ilkka Pölönen, John Paoli, Leevi Annala, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

S. Äyrämö, I. Pölönen, L. Annala, 2020, Applied Sciences.

Hexyl aminolevulinate, 5‐aminolevulinic acid nanoemulsion and methyl aminolevulinate in photodynamic therapy of non‐aggressive basal cell carcinomas: A non‐sponsored, randomized, prospective and double‐blinded trial

E. Snellman, I. Pölönen, M. Grönroos, 2020, Journal of the European Academy of Dermatology and Venereology : JEADV.

Convolutional neural networks in skin cancer detection using spatial and spectral domain

Ilkka Pölönen, Leevi Annala, Samuli Rahkonen, 2019, BiOS.

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

Ilkka Pölönen, Eija Honkavaara, Sakari Tuominen, 2020, Remote. Sens..

MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES

Ilkka Pölönen, Leevi Annala, Anna-Maria Hakola, 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network

Ilkka Pölönen, Eija Honkavaara, Olli Nevalainen, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks

H. Saari, I. Pölönen, A. Ranki, 2022, Journal of clinical medicine.

Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis

Sampsa Kiiskinen, L. Annala, Fabi Prezja, 2023, Algorithms.