Nataša Sladoje

Uppsala University — Sweden

Computer Science · Physical Sciences

15h-index951citations132works1.32yr avg
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Research Topics

Medical Image Segmentation Techniques(46), Image Retrieval and Classification Techniques(27), AI in cancer detection(26), Cell Image Analysis Techniques(25), Image and Object Detection Techniques(17)

Publications132 total

Roadmap on deep learning for microscopy
Journal of Physics Photonics·2025Open Access
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
ArXiv.org·2025Open Access
UpStory: the uppsala storytelling dataset
Frontiers in Robotics and AI·2025· 1 citedOpen Access
An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings
arXiv (Cornell University)·2025Open Access
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
arXiv (Cornell University)·2025Open Access
Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
arXiv (Cornell University)·2025Open Access
Are We Friends? End-to-End Prediction of Child Rapport in Guided Play
Lecture notes in computer science·2025
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
Lecture notes in computer science·2025Open Access
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
Computers in Biology and Medicine·2024· 9 citedOpen Access
Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning
Lecture notes in computer science·2024
Cross-modality sub-image retrieval using contrastive multimodal image representations
Scientific Reports·2024· 4 citedOpen Access
Correlated multimodal imaging in life sciences: lessons learnt
Frontiers in Biomaterials Science·2024· 1 citedOpen Access
UpStory: the Uppsala Storytelling dataset
arXiv (Cornell University)·2024Open Access
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
arXiv (Cornell University)·2024Open Access
Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection
PLoS ONE·2024· 5 citedOpen Access
Bio-Image Informatics Index BIII: A unique database of image analysis tools and workflows for and by the bioimaging community
arXiv (Cornell University)·2023· 1 citedOpen Access
Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography
Scientific Reports·2023· 6 citedOpen Access
PAP-QMNIST dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
PAP-QMNIST dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration
2023· 1 cited
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Frequent Co-authors

Joakim Lindblad(35), Ingela Nyström(6), Buda Bajić(5), Johan Öfverstedt(4), Kota Miura(4), Stefan G. Stanciu(4), Perrine Paul‐Gilloteaux(4), Elisabeth Wetzer(3), Punam K. Saha(3), Lassi Paavolainen(3), Leandro A. Scholz(3), Ofra Golani(3), Tomáš Majtner(3), Attila Tanács(3), Zoltán Kató(3), Ida‐Maria Sintorn(3), Jiahao Lu(2), Carolina Wählby(2), Benjamin Pavie(2), Gino Michiels(2)