A Characterization of Digital Disks by Discrete Moments. - Jovisa D. Zunic; Natasa Sladoje (CAIP, 1997)

Ellipses Estimation from their Digitization. - Natasa Sladoje; Jovisa D. Zunic (DGCI, 1997)

The Reconstruction of the Digital Hyperbola Segment from Its Code. - Natasa Sladoje (DGCI, 2000)

Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments. - Jovisa D. Zunic; Natasa Sladoje (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Perimeter and Area Estimations of Digitized Objects with Fuzzy Borders. - Natasa Sladoje; Ingela Nyström; Punam K. Saha (DGCI, 2003)

Measuring Perimeter and Area in Low Resolution Images Using a Fuzzy Approach. - Natasa Sladoje; Ingela Nyström; Punam K. Saha (SCIA, 2003)

Defuzzification of Discrete Objects by Optimizing Area and Perimeter Similarity. - Natasa Sladoje; Joakim Lindblad; Ingela Nyström (ICPR (3), 2004)

Estimation of Moments of Digitized Objects with Fuzzy Borders. - Natasa Sladoje; Joakim Lindblad (ICIAP, 2005)

Measurements of digitized objects with fuzzy borders in 2D and 3D. - Natasa Sladoje; Ingela Nyström; Punam K. Saha (Image Vis. Comput., 2005)

Shape signatures of fuzzy star-shaped sets based on distance from the centroid. - Jocelyn Chanussot; Ingela Nyström; Natasa Sladoje (Pattern Recognit. Lett., 2005)

Feature Based Defuzzification in Z2 and Z3 Using a Scale Space Approach. - Joakim Lindblad; Natasa Sladoje; Tibor Lukic (DGCI, 2006)

Feature Based Defuzzification at Increased Spatial Resolution. - Joakim Lindblad; Natasa Sladoje (IWCIA, 2006)

Representation and reconstruction of fuzzy disks by moments. - Natasa Sladoje; Joakim Lindblad (Fuzzy Sets Syst., 2007)

Deterministic Defuzzification Based on Spectral Projected Gradient Optimization. - Tibor Lukic; Natasa Sladoje; Joakim Lindblad (DAGM-Symposium, 2008)

Pixel Coverage Segmentation for Improved Feature Estimation. - Natasa Sladoje; Joakim Lindblad (ICIAP, 2009)

Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation. - Joakim Lindblad; Natasa Sladoje; Vladimir Curic; Hamid Sarve; Carina B. Johansson; Gunilla Borgefors (SCIA, 2009)

Recovering Affine Deformations of Fuzzy Shapes. - Attila Tanács; Csaba Domokos; Natasa Sladoje; Joakim Lindblad; Zoltan Kato (SCIA, 2009)

High-Precision Boundary Length Estimation by Utilizing Gray-Level Information. - Natasa Sladoje; Joakim Lindblad (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Estimation of linear deformations of 3D objects. - Attila Tanács; Joakim Lindblad; Natasa Sladoje; Zoltan Kato (ICIP, 2010)

De-noising of SRµCT Fiber Images by Total Variation Minimization. - Joakim Lindblad; Natasa Sladoje; Tibor Lukic (ICPR, 2010)

Precise estimation of the projection of a shape from a pixel coverage representation. - Slobodan Drazic; Joakim Lindblad; Natasa Sladoje (ISPA, 2011)

Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing. - Vladimir Curic; Joakim Lindblad; Natasa Sladoje (IWCIA, 2011)

Defuzzification of spatial fuzzy sets by feature distance minimization. - Natasa Sladoje; Joakim Lindblad; Ingela Nyström (Image Vis. Comput., 2011)

A graph-based framework for sub-pixel image segmentation. - Filip Malmberg; Joakim Lindblad; Natasa Sladoje; Ingela Nyström (Theor. Comput. Sci., 2011)

Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness. - Joakim Lindblad; Natasa Sladoje (Pattern Recognit. Lett., 2012)

Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction. - Kristina Lidayova; Joakim Lindblad; Natasa Sladoje; Hans Frimmel (ISPA, 2013)

An Evaluation of Potential Functions for Regularized Image Deblurring. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (ICIAR (1), 2014)

Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks. - Joakim Lindblad; Natasa Sladoje; Patrik Malm; Ewert Bengtsson; Ramin Moshavegh; Andrew Mehnert (ICPR, 2014)

A new set distance and its application to shape registration. - Vladimir Curic; Joakim Lindblad; Natasa Sladoje; Hamid Sarve; Gunilla Borgefors (Pattern Anal. Appl., 2014)

Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification. - Joakim Lindblad; Natasa Sladoje (IEEE Trans. Image Process., 2014)

Coverage segmentation of 3D thin structures. - Kristina Lidayova; Joakim Lindblad; Natasa Sladoje; Hans Frimmel; Chunliang Wang; Örjan Smedby (IPTA, 2015)

High-resolution reconstruction by feature distance minimization from multiple views of an object. - Joakim Lindblad; Natasa Sladoje; Amit Suveer; Anca Dragomir; Ida-Maria Sintorn (IPTA, 2015)

Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes. - Joakim Lindblad; Natasa Sladoje (ISMM, 2015)

αLBP - a novel member of the local binary pattern family based on α-cutting. - Marija Delic; Joakim Lindblad; Natasa Sladoje (ISPA, 2015)

Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening. - Joakim Lindblad; Ewert Bengtsson; Natasa Sladoje (SCIA, 2015)

Estimation of linear deformations of 2D and 3D fuzzy objects. - Attila Tanács; Joakim Lindblad; Natasa Sladoje; Zoltan Kato (Pattern Recognit., 2015)

Precise Euclidean distance transforms in 3D from voxel coverage representation. - Vladimir Ilic; Joakim Lindblad; Natasa Sladoje (Pattern Recognit. Lett., 2015)

Signature of a Shape Based on Its Pixel Coverage Representation. - Vladimir Ilic; Joakim Lindblad; Natasa Sladoje (DGCI, 2016)

Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (IPTA, 2016)

Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (ISBI, 2016)

Automated detection of cilia in low magnification transmission electron microscopy images using template matching. - Amit Suveer; Natasa Sladoje; Joakim Lindblad; Anca Dragomir; Ida-Maria Sintorn (ISBI, 2016)

Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (J. Electronic Imaging, 2016)

Estimation of Feret's diameter from pixel coverage representation of a shape. - Slobodan Drazic; Natasa Sladoje; Joakim Lindblad (Pattern Recognit. Lett., 2016)

Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection. - Johan Öfverstedt; Natasa Sladoje; Joakim Lindblad (ISMM, 2017)

Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification. - Natasa Sladoje; Joakim Lindblad (IWCIA, 2017)

Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images. - Anindya Gupta; Amit Suveer; Joakim Lindblad; Anca Dragomir; Ida-Maria Sintorn; Natasa Sladoje (SCIA (1), 2017)

Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction. - Amit Suveer; Natasa Sladoje; Joakim Lindblad; Anca Dragomir; Ida-Maria Sintorn (SCIA (2), 2017)

Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps. - Elisabeth Wetzer; Joakim Lindblad; Ida-Maria Sintorn; Kjell Hultenby; Natasa Sladoje (ECCV Workshops (6), 2018)

Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement. - Buda Bajic; Amit Suveer; Anindya Gupta; Ivana Pepic; Joakim Lindblad; Natasa Sladoje; Ida-Maria Sintorn (ISBI, 2018)

An Objective Scoring Framework for Histology Slide Image Mosaics Applicable for the Reliable Benchmarking of Image Quality Assessment Algorithms. - Tiberiu Totu; Roxana M. Buga; Adrian Dumitru; Mariana Costache; Natasa Sladoje; Stefan G. Stanciu (IEEE Access, 2018)

Fast and Robust Symmetric Image Registration Based on Intensity and Spatial Information. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2018)

Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. - Tomás Majtner; Buda Bajic; Sule Yildirim; Jon Yngve Hardeberg; Joakim Lindblad; Natasa Sladoje (CoRR, 2018)

Stochastic Distance Transform. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (DGCI, 2019)

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. - Tomás Majtner; Buda Bajic; Joakim Lindblad; Natasa Sladoje; Victoria Blanes-Vidal; Esmaeil S. Nadimi (SCIA, 2019)

Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (J. Electronic Imaging, 2019)

Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (IEEE Trans. Image Process., 2019)

A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. - Jiahao Lu; Natasa Sladoje; Christina Runow Stark; Eva Darai Ramqvist; Jan-Michael Hirsch; Joakim Lindblad (ICIAR (2), 2020)

When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection. - Elisabeth Wetzer; Jo Gay; Hugo Harlin; Joakim Lindblad; Natasa Sladoje (ISBI, 2020)

CoMIR: Contrastive Multimodal Image Representation for Registration. - Nicolas Pielawski; Elisabeth Wetzer; Johan Öfverstedt; Jiahao Lu; Carolina Wählby; Joakim Lindblad; Natasa Sladoje (NeurIPS, 2020)

INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2020)

Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps. - Buda Bajic; Tomás Majtner; Joakim Lindblad; Natasa Sladoje (IET Image Process., 2020)

Stochastic Distance Transform: Theory, Algorithms and Applications. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (J. Math. Imaging Vis., 2020)

BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. - Ulysse Rubens; Romain Mormont; Lassi Paavolainen; Volker Bäcker; Benjamin Pavie; Leandro A. Scholz; Gino Michiels; Martin Maska; Devrim Ünay; Graeme Ball; Renaud Hoyoux; Rémy Vandaele; et al. (Patterns, 2020)

Automatic analysis of infant engagement during play: An end-to-end learning and Explainable AI pilot experiment. - Marc Fraile; Joakim Lindblad; Christine Fawcett; Natasa Sladoje; Ginevra Castellano (ICMI Companion, 2021)

The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning. - Nadezhda Koriakina; Natasa Sladoje; Joakim Lindblad (ISPA, 2021)

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study. - Jiahao Lu; Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2021)

End-to-end Multiple Instance Learning with Gradient Accumulation. - Axel Andersson; Nadezhda Koriakina; Natasa Sladoje; Joakim Lindblad (IEEE Big Data, 2022)

End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability. - Marc Fraile; Christine Fawcett; Joakim Lindblad; Natasa Sladoje; Ginevra Castellano (ICMI, 2022)

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (WBIR, 2022)

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. - Eva Breznik; Elisabeth Wetzer; Joakim Lindblad; Natasa Sladoje (CoRR, 2022)

Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. - Nadezhda Koriakina; Natasa Sladoje; Vladimir Basic; Joakim Lindblad (CoRR, 2022)

Guest Editorial: Discrete Geometry and Mathematical Morphology. - Filip Malmberg; Joakim Lindblad; Natasa Sladoje (J. Math. Imaging Vis., 2022)

Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (Pattern Recognit. Lett., 2022)

Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers? - Elisabeth Wetzer; Joakim Lindblad; Natasa Sladoje (IbPRIA, 2023)

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. - Love Nordling; Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (ISBI, 2023)

Are We Friends? End-to-End Prediction of Child Rapport in Guided Play. - Marc Fraile; Giovanna Varni; Joakim Lindblad; Natasa Sladoje; Ginevra Castellano (ECCV Workshops (15), 2024)

Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning. - Swarnadip Chatterjee; Orçun Göksel; Natasa Sladoje; Joakim Lindblad (ICPR (27), 2024)

A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology. - Marco Acerbis; Natasa Sladoje; Joakim Lindblad (SCIA (2), 2025)

Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection. - Wenyi Lian; Joakim Lindblad; Christina Runow Stark; Jan-Michael Hirsch; Natasa Sladoje (Comput. Biol. Medicine, 2025)

UpStory: the uppsala storytelling dataset. - Marc Fraile; Natalia Calvo-Barajas; Anastasia Sophia Apeiron; Giovanna Varni; Joakim Lindblad; Natasa Sladoje; Ginevra Castellano (Frontiers Robotics AI, 2025)

Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning. - Wenyi Lian; Joakim Lindblad; Patrick Micke; Natasa Sladoje (CoRR, 2025)

An Image is Worth K Topics: A Visual Structural Topic Model with Pretrained Image Embeddings. - Matías Piqueras; Alexandra Segerberg; Matteo Magnani; Måns Magnusson; Natasa Sladoje (CoRR, 2025)