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Visual regression of clinical parameters from retinal images
(2019)
Retinal image features, especially related to the blood vessels, have been proposed as early indicators of various retinal and systemic diseases. Monitoring the features over time can provide insight into the progression ...
Open-set plankton recognition
(2021)
Research on the plankton community is often dealt with acquiring species-level information of individual micro-organisms. The efficiency is limited when manually analyzing a massive collection of plankton image data generated ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Semi-supervised learning for plankton image classification
(2020)
The production of big data from plankton populations has become feasible with the use of imaging devices. This opens up the possibility of testing key characteristics in planktonic systems. The manual labeling of images ...
End-to-end regression of clinical parameters from retinal images
(2020)
Retinal images are widely used by medical doctors to diagnose eye-related diseases. Unfortunately, the human factor restricts possibilities of full analysis of fundus. Therefore, implementing an automated algorithm for ...
Finding interesting images from large quantities of camera trap data
(2020)
To protect the endangered Saimaa ringed seal population, the ringed seals are monitored
with automatic camera traps in order to gather knowledge about them including population
size, territory, age, health and breeding ...
Seal pose estimation using convolutional neural networks
(2021)
Conservation of the endangered Saimaa ringed seal population requires an effective approach to re-identify animals, which would allow biologists and ecologists to monitor the population. The ideal approach of ringed seal ...
Explainability and generalizability of glaucoma detection models
(2023)
Glaucoma is a group of sight-threatening eye diseases for which, to date, there is no causal treatment. Based on the current prognosis, it is estimated that the number of people affected by this disease will increase from ...
Identifying hidden parameters in cellular automata with neural networks
(2023)
Cellular Automata models are commonly utilized in studying the dynamics of complex systems in physics, biology, and social sciences. However, the behavior of CAs is often influenced by hidden parameters, which are difficult ...
Geometric verification for Saimaa ringed seal re-identification
(2023)
Ongoing conservation efforts of the Saimaa ringed seal (Pusa hispida saimensis) utilize an image-based re-identification, but the re-identification is mostly done manually. Due to enlarging image data sets of seals, the ...