Team

Alumni

Name

Mohammed Ali (PhD)

Marko Lillemägi (MSc)

David Avedis Injarabian (MSc)

Donatas Vaiciukevičius (MSc)

Dmytro Shvetsov (MSc)

Glib Manaiev (MSc)

Pavel Chizhov (MSc)

Denys Krupovych (MSc)

Anhelina Lohvina (MSc)

Denys Kaliuzhnyi (MSc)

Aleksandr Krylov (MSc)

Iaroslav Plutenko (MSc)

Dmytro Urukov (MSc)

Kaspar Hollo (MSc)

Oleh Misko (MSc)

Mikhail Papkov (MSc)

Sten-Oliver Salumaa (MSc)

Oleksandr Pryhoda (BSc)

Marten Türk (BSc)

Danver Hans Värv (BSc)

Karl Suurakaev (BSc)

Benjamin Eckhardt (BSc)

Thesis

Deep learning methods for cell microscopy image analysis

Improving Counterfactual Image Generation for Weakly Supervised Tumour Segmentation through Theoretical and Architectural Alignment

Text-Driven Weakly Supervised Medical Image Segmentation

Every Click Counts: Deep Learning Models for Interactive Segmentation in Biomedical Imaging

Weakly Supervised Segmentation in Medical Imaging: A Counterfactual Approach

Medical Image Classification with Limited Data

Self-Supervised Image Denoising Using Transformers

Deblurring of Microscopic 3D Spheroid Images Using GANs

Table2Cell: Generating Realistic Nuclei Images from Numeric Properties for Data Compression

Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology

Segmentation of Fungal Cells from Multiplane Brightfield Microscopy Images

Incorporating Metadata for Semantic Segmentation by employing Channel Attention Mechanism

Improving Microscopy Image Segmentation with Object Detection

Exploring the Value of Weakly-Supervised Deep Learning Approaches for Artefact Segmentation in Brightfield Microscopy Images

Ensembling and transfer learning for multi-domain microscopy image segmentation

Applications of Deep Neural Networks for Cell Phenotyping in Co-cultures

Convolutional Neural Networks for Cellular Segmentation

Tissue Segmentation in Histopathological Whole-Slide images with Deep Learning

Improving Semantic Segmentation of Microscopy Images Using Rotation Equivariant Convolutional Networks

Mother-bud Detection and Classification in Yeast Cells

Seeing the Forest Behind the Trees: A Novel Method for Generating Data for Overlapping Object Segmentation

Localizing Cells in Phase-Contrast Microscopy Images using Sparse and Noisy Center-Point Annotations

Mentors / Collaborators

Kaupo Palo (mentor, collaborator, Revvity)

Georgi Dzaparidze (collaborator)

Hartwig Preckel (collaborator)

Leopold Parts (mentor, collaborator, Wellcome Sanger Institute)

Jaak Vilo (advisor, University of Tartu)

Roman Ring (collaborator, DeepMind )

Tetiana Rabiichuk (collaborator, IST Austria)

Tõnis Laasfeld (collaborator, University of Tartu)

Tarun Khajuria (collaborator, University of Tartu)

Hendrik Šuvalov (collaborator, University of Tartu)

Ardi Tampuu (collaborator, University of Tartu)

Marharyta Domnich (collaborator, University of Tartu)

Team

Dmytro Fishman

Syed Qasim Gilani

Jonaas Ariva

Illia Tsiparenko

Dmytro Fedorenko

Yaroslav Prytula

Ali Zeynalli

Chingiz Alikhanov

Ekaterina Sedykh

Anastasiia Petrovych

Aleksandr Makarov

Salme Ussanov

Venkata Narayana Bommanaboina

Alumni

Mentors / Collaborators