Natasa Sladoje

Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection

Lian, Wenyi; Lindblad, Joakim; Runow Stark, Christina; Hirsch, Jan et al.

Ingår i Computers in Biology and Medicine, s. 1-14, 2025

• DOI för Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
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A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

Acerbis, Marco; Sladoje, Nataša; Lindblad, Joakim

Ingår i Image Analysis, s. 264-277, 2025

• DOI för A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

UpStory: the uppsala storytelling dataset

Fraile, Marc; Calvo-Barajas, Natalia; Apeiron, Anastasia Sophia; Varni, Giovanna et al.

Ingår i Frontiers in Robotics and AI, 2025

• DOI för UpStory: the uppsala storytelling dataset
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Are We Friends?: End-to-End Prediction of Child Rapport in Guided Play

Fraile, Marc; Varni, Giovanna; Lindblad, Joakim; Sladoje, Nataša et al.

Ingår i Computer Vision – ECCV 2024 Workshops, s. 380-392, 2024

• DOI för Are We Friends?: End-to-End Prediction of Child Rapport in Guided Play

Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning

Chatterjee, Swarnadip; Göksel, Orcun; Sladoje, Nataša; Lindblad, Joakim

Ingår i Pattern Recognition, s. 408-421, 2024

• DOI för Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning

Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection

Lian, Wenyi; Lindblad, Joakim; Runow Stark, Christina; Hirsch, Jan et al.

Ingår i Computers in Biology and Medicine, s. 1-14, 2025

• DOI för Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
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UpStory: the uppsala storytelling dataset

Fraile, Marc; Calvo-Barajas, Natalia; Apeiron, Anastasia Sophia; Varni, Giovanna et al.

Ingår i Frontiers in Robotics and AI, 2025

• DOI för UpStory: the uppsala storytelling dataset
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Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Koriakina, Nadezhda; Sladoje, Nataša; Basic, Vladimir; Lindblad, Joakim

Ingår i PLOS ONE, 2024

• DOI för Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection
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Cross-modality sub-image retrieval using contrastive multimodal image representations

Breznik, Eva; Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša

Ingår i Scientific Reports, 2024

• DOI för Cross-modality sub-image retrieval using contrastive multimodal image representations
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Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography

Kahraman, Ali T.; Fröding, Tomas; Toumpanakis, Dimitrios; Sladoje, Nataša et al.

Ingår i Scientific Reports, 2023

• DOI för Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography
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INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i PLOS ONE, 2023

• DOI för INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
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Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Pattern Recognition Letters, s. 196-203, 2022

• DOI för Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
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Is image-to-image translation the panacea for multimodal image registration?: A comparative study

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i PLOS ONE, 2022

• DOI för Is image-to-image translation the panacea for multimodal image registration?: A comparative study
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HISTOBREAST: a collection of brightfield microscopy images of Haematoxylin and Eosin stained breast tissue

Buga, Roxana M.; Totu, Tiberiu; Dumitru, Adrian; Costache, Mariana et al.

Ingår i Scientific Data, 2020

• DOI för HISTOBREAST: a collection of brightfield microscopy images of Haematoxylin and Eosin stained breast tissue
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BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows.

Rubens, Ulysse; Mormont, Romain; Paavolainen, Lassi; Bäcker, Volker et al.

Ingår i Patterns (New York, N.Y.), 2020

• DOI för BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows.
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Stochastic Distance Transform: Theory, Algorithms and Applications

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Journal of Mathematical Imaging and Vision, s. 751-769, 2020

• DOI för Stochastic Distance Transform: Theory, Algorithms and Applications
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Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps

Bajic, Buda; Majtner, Tomas; Lindblad, Joakim; Sladoje, Natasa

Ingår i IET Image Processing, s. 1201-1208, 2020

• DOI för Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps

Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise

Bajic, Buda; Lindblad, Joakim; Sladoje, Natasa

Ingår i Journal of Electronic Imaging (JEI), 2019

• DOI för Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise

Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i IEEE Transactions on Image Processing, s. 3584-3597, 2019

• DOI för Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
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Facilitating Ultrastructural Pathology through Automated Imaging and Analysis

Sintorn, Ida-Maria; Suveer, Amit; Dragomir, Anca; Hultenby, Kjell et al.

Ingår i Journal of Pathology Informatics, s. 38-39, 2019

An Objective Scoring Framework for Histology Slide Image Mosaics Applicable for the Reliable Benchmarking of Image Quality Assessment Algorithms

Totu, Tiberiu; Buga, Roxana; Dumitru, Adrian; Costache, Mariana et al.

Ingår i IEEE Access, s. 53080-53091, 2018

• DOI för An Objective Scoring Framework for Histology Slide Image Mosaics Applicable for the Reliable Benchmarking of Image Quality Assessment Algorithms

Estimation of Feret's diameter from pixel coverage representation of a shape

Drazic, Slobodan; Sladoje, Natasa; Lindblad, Joakim

Ingår i Pattern Recognition Letters, s. 37-45, 2016

• DOI för Estimation of Feret's diameter from pixel coverage representation of a shape

Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study

Bajic, Buda; Lindblad, Joakim; Sladoje, Nataša

Ingår i Journal of Electronic Imaging (JEI), 2016

• DOI för Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study
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Estimation of linear deformations of 2D and 3D fuzzy objects

Tanács, Attila; Lindblad, Joakim; Sladoje, Nataša; Kato, Zoltan

Ingår i Pattern Recognition, s. 1391-1403, 2015

• DOI för Estimation of linear deformations of 2D and 3D fuzzy objects

Precise Euclidean distance transforms in 3D from voxel coverage representation

Ilic, Vladimir; Lindblad, Joakim; Sladoje, Natasa

Ingår i Pattern Recognition Letters, s. 184-191, 2015

• DOI för Precise Euclidean distance transforms in 3D from voxel coverage representation

Linear time distances between fuzzy sets with applications to pattern matching and classification

Lindblad, Joakim; Sladoje, Natasa

Ingår i IEEE Transactions on Image Processing, s. 126-136, 2014

• DOI för Linear time distances between fuzzy sets with applications to pattern matching and classification

A new set distance and its application to shape registration

Curic, Vladimir; Lindblad, Joakim; Sladoje, Natasa; Sarve, Hamid et al.

Ingår i Pattern Analysis and Applications, s. 141-152, 2014

• DOI för A new set distance and its application to shape registration

Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness

Lindblad, Joakim; Sladoje, Natasa

Ingår i Pattern Recognition Letters, s. 728-738, 2012

• DOI för Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness

Defuzzification of spatial fuzzy sets by feature distance minimization

Sladoje, Natasa; Lindblad, Joakim; Nyström, Ingela

Ingår i Image and Vision Computing, s. 127-141, 2011

• DOI för Defuzzification of spatial fuzzy sets by feature distance minimization

A Graph-based Framework for Sub-pixel Image Segmentation

Malmberg, Filip; Lindblad, Joakim; Sladoje, Natasa; Nyström, Ingela

Ingår i Theoretical Computer Science, s. 1338-1349, 2011

• DOI för A Graph-based Framework for Sub-pixel Image Segmentation

Regularized image denoising based on spectral gradient optimization

Lukic, Tibor; Lindblad, Joakim; Sladoje, Natasa

Ingår i Inverse Problems, 2011

• DOI för Regularized image denoising based on spectral gradient optimization

High-precision boundary length estimation by utilizing gray-level information

Sladoje, Natasa; Lindblad, Joakim

Ingår i IEEE Transactions on Pattern Analysis and Machine Intelligence, s. 357-363, 2009

• DOI för High-precision boundary length estimation by utilizing gray-level information

Representation and Reconstruction of Fuzzy Disks by Moments

Sladoje, Natasa; Lindblad, Joakim

Ingår i Fuzzy sets and systems (Print), s. 517-534, 2007

• DOI för Representation and Reconstruction of Fuzzy Disks by Moments

Measurements of digitized objects with fuzzy borders in 2D and 3D

Sladoje, Natasa; Nyström, Ingela; Saha, Punam Kumar

Ingår i Image and Vision Computing, s. 123-132, 2005

• DOI för Measurements of digitized objects with fuzzy borders in 2D and 3D

Shape signaturs of fuzzy star-shaped sets based on distance from the centroid

Chanussot, Jocelyn; Nyström, Ingela; Sladoje, Natasa

Ingår i Pattern Recognition Letters, s. 735-746, 2005

• DOI för Shape signaturs of fuzzy star-shaped sets based on distance from the centroid

Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments

Zunic, Jovisa; Sladoje, Nataša

Ingår i IEEE Transactions on Pattern Analysis and Machine Intelligence, s. 407-414, 2000

• DOI för Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments

Correlated multimodal imaging in life sciences: lessons learnt

Rudraiah, Pavitra Sokke; Camacho, Rafael; Fernandez-Rodriguez, Julia; Fixler, Dror et al.

Ingår i Frontiers in Biomaterials Science, 2024

• DOI för Correlated multimodal imaging in life sciences: lessons learnt
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Introduction—computer-assisted analysis of multimodal image data

Sladoje, Natasa; Lindblad, Joakim

Ingår i Imaging Modalities for Biological and Preclinical Research, Institute of Physics Publishing (IOPP), 2021

• DOI för Introduction—computer-assisted analysis of multimodal image data

Computer-assisted analysis of multimodal image data—perspectives and conclusion

Sladoje, Natasa; Lindblad, Joakim; Paul-Gilloteaux, Perrine

Ingår i Imaging Modalities for Biological and Preclinical Research, Institute of Physics Publishing (IOPP), 2021

• DOI för Computer-assisted analysis of multimodal image data—perspectives and conclusion

The coverage model and its use in image processing

Sladoje, Natasa; Lindblad, Joakim

Ingår i Selected Topics on Image Processing and Cryptology, s. 39-117, Mathematical Institute of the Serbian Academy of Sciences and Arts, 2012

A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

Acerbis, Marco; Sladoje, Nataša; Lindblad, Joakim

Ingår i Image Analysis, s. 264-277, 2025

• DOI för A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

Are We Friends?: End-to-End Prediction of Child Rapport in Guided Play

Fraile, Marc; Varni, Giovanna; Lindblad, Joakim; Sladoje, Nataša et al.

Ingår i Computer Vision – ECCV 2024 Workshops, s. 380-392, 2024

• DOI för Are We Friends?: End-to-End Prediction of Child Rapport in Guided Play

Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning

Chatterjee, Swarnadip; Göksel, Orcun; Sladoje, Nataša; Lindblad, Joakim

Ingår i Pattern Recognition, s. 408-421, 2024

• DOI för Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning

Investigating the Relevance of Contextual Information Towards Improving Deep CNN Based Oral Cancer Screening on Whole Slide Cytology Samples

Chatterjee, Swarnadip; Sladoje, Nataša; Lindblad, Joakim

2023

Partial dimensional collapse in contrastive learning when using intermediate layers

Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša

2023

Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers?

Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša

Ingår i IbPRIA 2023: Pattern Recognition and Image Analysis, s. 261-275, 2023

• DOI för Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers?

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Nordling, Love; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023

• DOI för Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Multimodal deformable image registration using contrastive learning of equivariant image representations

Nordling, Love; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

2023

Re-Ranking Strategies in Cross-Modality Microscopy Retrieval

Wetzer, Elisabeth; Breznik, Eva; Lindblad, Joakim; Sladoje, Nataša

2022

Label-Free Reverse Image Search of Multimodal Microscopy Images

Breznik, Eva; Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Natasa

2022

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2022

• DOI för Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Rotationally Equivariant Representation Learning for Multimodal Images

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2022

Efficient Algorithms for Global Multimodal Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2022

DCNN based Oral Cancer Screening using Whole Slide Cytology Images: Effect of Increased Patch Size

Chatterjee, Swarnadip; Sladoje, Nataša; Lindblad, Joakim

2022

End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability

Fraile, Marc; Fawcett, Christine; Lindblad, Joakim; Sladoje, Nataša et al.

Ingår i ICMI '22, s. 444-454, 2022

• DOI för End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability
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End-to-end Multiple Instance Learning with Gradient Accumulation

Andersson, Axel; Koriakina, Nadezhda; Sladoje, Nataša; Lindblad, Joakim

Ingår i 2022 IEEE International Conference on Big Data (Big Data), s. 2742-2746, 2022

• DOI för End-to-end Multiple Instance Learning with Gradient Accumulation

Automatic Analysis of Infant Engagement during Play: An End-to-end Learning and Explainable AI Pilot Experiment

Fraile, Marc; Lindblad, Joakim; Fawcett, Christine; Sladoje, Natasa et al.

Ingår i Companion Publication of the 2021 International Conference on Multimodal Interaction, s. 403-407, 2021

• DOI för Automatic Analysis of Infant Engagement during Play: An End-to-end Learning and Explainable AI Pilot Experiment
• Ladda ner fulltext (pdf) av Automatic Analysis of Infant Engagement during Play: An End-to-end Learning and Explainable AI Pilot Experiment

The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Koriakina, Nadezhda; Sladoje, Natasa; Lindblad, Joakim

Ingår i Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis (ISPA), s. 183-188, 2021

• DOI för The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Fast Computation of Mutual Information with Application to Global Multimodal Image Alignment of Micrographs

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Registration of Multimodal Microscopy Images using CoMIR – learned structural image representations

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2021

Image-to-Image Translation in Multimodal Image Registration: How Well Does It Work?

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Contrastive Learning for Equivariant Multimodal Image Representations

Wetzer, Elisabeth; Pielawski, Nicolas; Breznik, Eva; Öfverstedt, Johan et al.

2021

Comir: Contrastive multimodal image representation for registration

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2021

When texture matters: Texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection

Wetzer, Elisabeth; Gay, Jo; Harlin, Hugo; Lindblad, Joakim et al.

Ingår i 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), s. 517-521, 2020

• DOI för When texture matters: Texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection

Uncovering hidden reasoning of convolutional neural networks in biomedical image classification by using attribution methods

Koriakina, Nadezhda; Sladoje, Natasa; Wetzer, Elisabeth; Lindblad, Joakim

Ingår i 4th NEUBIAS Conference, Bordeaux, France, 2020

A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

Lu, Jiahao; Sladoje, Natasa; Runow Stark, Christina; Darai Ramqvist, Eva et al.

Ingår i Image Analysis and Recognition, s. 249-261, 2020

• DOI för A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

Cross-modal Representation Learning for Efficient Registration of Multiphoton and Brightfield Microscopy Images of Skin Tissue

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Jiahao, Lu et al.

Ingår i 4th NEUBIAS Conference, Bordeaux, France, 2020

CoMIR: Contrastive Multimodal Image Representation for Registration

Pielawski, Nicolas; Wetzer, Elisabeth; Öfverstedt, Johan; Lu, Jiahao et al.

Ingår i NeurIPS - 34th Conference on Neural Information Processing Systems, 2020

Robust Symmetric Affine Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Swedish Symposium on Image Analysis, 2019

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool

Majtner, Tomáš; Bajić, Buda; Lindblad, Joakim; Sladoje, Natasa et al.

Ingår i Scandinavian Conference on Image Analysis, s. 439-451, 2019

• DOI för On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool

Towards automated multiscale Glomeruli detection and analysis in TEM by fusion of CNN and LBP maps

Wetzer, Elisabeth; Lindblad, Joakim; Sintorn, Ida-Maria; Hultenby, Kjell et al.

Ingår i 3rd NEUBIAS Conference, 2019

Oral Cancer Detection: A Comparison of Texture Focused Deep Learning Approaches

Gay, Jo; Harlin, Hugo; Wetzer, Elisabeth; Lindblad, Joakim et al.

Ingår i Proceedings of the Swedish Society for Automated Image Analysis (SSBA), 2019

Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes

Koriakina, Nadezhda; Sladoje, Natasa; Bengtsson, Ewert; Ramqvist, Eva Darai et al.

Ingår i 3rd NEUBIAS Conference, Luxembourg, 2-8 February 2019, 2019

Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps

Wetzer, Elisabeth; Lindblad, Joakim; Sintorn, Ida-Maria; Hultenby, Kjell et al.

Ingår i Computer Vision, s. 465-475, 2019

• DOI för Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps

Stochastic Distance Functions with Applications in Object Detection and Image Segmentation

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Swedish Symposium on Image Analysis, 2019

Stochastic Distance Transform

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Discrete Geometry for Computer Imagery, s. 75-86, 2019

• DOI för Stochastic Distance Transform

Texture-based oral cancer detection: A performance analysis of deep learning approaches.

Gay, Jo; Harlin, Hugo; Wetzer, Elisabeth; Lindblad, Joakim et al.

Ingår i 3rd NEUBIAS Conference, 2019

Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement

Bajic, Buda; Suveer, Amit; Gupta, Anindya; Pepic, Ivana et al.

Ingår i Proc. 15th International Symposium on Biomedical Imaging, s. 921-925, 2018

• DOI för Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement

Towards automated multiscale imaging and analysis in TEM: Glomeruli detection by fusion of CNN and LBP maps

Wetzer, Elisabeth; Lindblad, Joakim; Sintorn, Ida-Maria; Hultenby, Kjell et al.

Ingår i Swedish Symposium on Deep Learning, 2018

Denoising of Short Exposure Transmission Electron Microscopy Images using CNN

Gupta, Anindya; Suveer, Amit; Bajic, Buda; Pepic, Ivana et al.

Ingår i Swedish Symposium on Image Analysis, 2018

Distance Between Vector-valued Images based on Intersection Decomposition with Applications in Object Detection

Öfverstedt, Johan; Sladoje, Natasa; Lindblad, Joakim

Ingår i Swedish Symposium on Image Analysis, 2018

Enhancement of cilia sub-structures by multiple instance registration and super-resolution reconstruction

Suveer, Amit; Sladoje, Nataša; Lindblad, Joakim; Dragomir, Anca et al.

Ingår i Image Analysis, s. 362-374, 2017

• DOI för Enhancement of cilia sub-structures by multiple instance registration and super-resolution reconstruction

False positive reduction of cilia detected in low resolution TEM images using a convolutional neural network

Gupta, Anindya; Suveer, Amit; Lindblad, Joakim; Dragomir, Anca et al.

Ingår i Swedish Symposium on Image Analysis, 2017

• Ladda ner fulltext (pdf) av False positive reduction of cilia detected in low resolution TEM images using a convolutional neural network

Cilia ultrastructural visibility enhancement by multiple instance registration and super-resolution reconstruction

Suveer, Amit; Sladoje, Natasa; Lindblad, Joakim; Dragomir, Anca et al.

Ingår i Swedish Symposium on Image Analysis, 2017

Distance between vector-valued fuzzy sets based on intersection decomposition with applications in object detection

Öfverstedt, Johan; Sladoje, Natasa; Lindblad, Joakim

Ingår i Mathematical Morphology and its Applications to Signal and Image Processing, s. 395-407, 2017

• DOI för Distance between vector-valued fuzzy sets based on intersection decomposition with applications in object detection

Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification

Sladoje, Natasa; Lindblad, Joakim

Ingår i In Proc. of the 18th International Workshop on Combinatorial Image Analysis, IWCIA2017, s. 243-255, 2017

• DOI för Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification

Convolutional neural networks for false positive reduction of automatically detected cilia in low magnification TEM images

Gupta, Anindya; Suveer, Amit; Lindblad, Joakim; Dragomir, Anca et al.

Ingår i Image Analysis, s. 407-418, 2017

• DOI för Convolutional neural networks for false positive reduction of automatically detected cilia in low magnification TEM images

Blind deconvolution of images degraded with mixed Poisson-Gaussian noise with application in Transmission Electron Microscopy

Bajic, Buda; Lindblad, Joakim; Sladoje, Nataša

Ingår i Proceedings of the Swedish Society for Automated Image Analysis, s. 137-141, 2016

Signature of a Shape Based on Its Pixel Coverage Representation

Ilic, Vladimir; Lindblad, Joakim; Sladoje, Nataša

Ingår i Discrete Geometry for Computer Imagery, DGCI 2016. Lecture Notes in Computer Science, Vol. 9647, pp. 181-193, Springer 2016, s. 181-193, 2016

• DOI för Signature of a Shape Based on Its Pixel Coverage Representation

Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy

Bajic, Buda; Lindblad, Joakim; Sladoje, Nataša

Ingår i 2016 Ieee 13Th International Symposium On Biomedical Imaging (ISBI), s. 123-127, 2016

• DOI för Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy

Automated detection of cilia in low magnification transmission electron microscopy images using template matching

Suveer, Amit; Sladoje, Nataša; Lindblad, Joakim; Dragomir, Anca et al.

Ingår i Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, s. 386-390, 2016

• DOI för Automated detection of cilia in low magnification transmission electron microscopy images using template matching

Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise

Bajic, Buda; Lindblad, Joakim; Sladoje, Natasa

Ingår i 2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 2016

• DOI för Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise

High-resolution reconstruction by feature distance minimization from multiple views of an object

Lindblad, Joakim; Sladoje, Natasa; Suveer, Amit; Dragomir, Anca et al.

Ingår i Proc. 5th International Conference on Image Processing Theory, Tools and Applications, s. 29-34, 2015

• DOI för High-resolution reconstruction by feature distance minimization from multiple views of an object

Microscopy image enhancement for cost-effective cervical cancer screening

Lindblad, Joakim; Bengtsson, Ewert; Sladoje, Nataša

Ingår i Image Analysis, s. 440-451, 2015

• DOI för Microscopy image enhancement for cost-effective cervical cancer screening

Coverage segmentation of 3D thin structures

Lidayová, Kristína; Lindblad, Joakim; Sladoje, Nataša; Frimmel, Hans et al.

Ingår i Proc. 5th International Conference on Image Processing Theory, Tools and Applications, s. 23-28, 2015

• DOI för Coverage segmentation of 3D thin structures

αLBP – a novel member of the Local Binary Pattern family based on α-cutting

Delic, Marija; Lindblad, Joakim; Sladoje, Natasa

Ingår i Proc. 9th International Symposium on Image and Signal Processing and Analysis, s. 13-18, 2015

• DOI för αLBP – a novel member of the Local Binary Pattern family based on α-cutting

Exact linear time Euclidean distance transforms of grid line sampled shapes

Lindblad, Joakim; Sladoje, Natasa

Ingår i Mathematical Morphology and its Applications to Signal and Image Processing, s. 645-656, 2015

• DOI för Exact linear time Euclidean distance transforms of grid line sampled shapes

An evaluation of potential functions for regularized image deblurring

Bajić, Buda; Lindblad, Joakim; Sladoje, Nataša

Ingår i Image Analysis and Recognition, s. 150-158, 2014

• DOI för An evaluation of potential functions for regularized image deblurring

Optimizing optics and imaging for pattern recognition based screening tasks

Lindblad, Joakim; Sladoje, Natasa; Malm, Patrik; Bengtsson, Ewert et al.

Ingår i Proc. 22nd International Conference on Pattern Recognition, s. 3333-3338, 2014

• DOI för Optimizing optics and imaging for pattern recognition based screening tasks

Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction

Lidayová, Kristína; Lindblad, Joakim; Sladoje, Nataša; Frimmel, Hans

Ingår i Proc. 8th International Symposium on Image and Signal Processing and Analysis, s. 83-88, 2013

• DOI för Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction

Precise Estimation of the Projection of a Shape from a Pixel Coverage Representation

Dražić, Slobodan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Proceedings of the 7th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), s. 569-574, 2011

Distance measures between digital fuzzy objects and their applicability in image processing

Curic, Vladimir; Lindblad, Joakim; Sladoje, Natasa

Ingår i Combinatorial Image Analysis, s. 385-397, 2011

• DOI för Distance measures between digital fuzzy objects and their applicability in image processing

De-noising of SRµCT Fiber Images by Total Variation Minimization

Lindblad, Joakim; Sladoje, Natasa; Lukic, Tibor

Ingår i Proceedings of the 20th International Conference on Pattern Recognition (ICPR10), s. 4621-4624, 2010

• DOI för De-noising of SRµCT Fiber Images by Total Variation Minimization

The Sum of minimal distances as a useful distance measure for image registration

Curic, Vladimir; Lindblad, Joakim; Sladoje, Natasa

Ingår i Proceedings SSBA 2010, s. 55-58, 2010

Estimation of linear deformations of 3D objects

Tanács, Attila; Lindblad, Joakim; Sladoje, Natasa; Kato, Zoltan

Ingår i Proceedings of 2010 IEEE 17th International Conference on Image Processing, s. 153-156, 2010

• DOI för Estimation of linear deformations of 3D objects

Recovering Affine Deformations of Fuzzy Shapes

Tanács, Attila; Domokos, Csaba; Sladoje, Natasa; Lindblad, Joakim et al.

Ingår i 16th Scandinavian Conference on Image Analysis, s. 735-744, 2009

• DOI för Recovering Affine Deformations of Fuzzy Shapes

Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation

Lindblad, Joakim; Sladoje, Natasa; Curic, Vladimir; Sarve, Hamid et al.

Ingår i Image Analysis, s. 750-759, 2009

• DOI för Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation

On set distances and their application to image registration

Lindblad, Joakim; Curic, Vladimir; Sladoje, Natasa

Ingår i Proc. 6th International Symposium on Image and Signal Processing and Analysis, s. 449-454, 2009

• DOI för On set distances and their application to image registration

Pixel Coverage Segmentation for Improved Feature Estimation

Sladoje, Natasa; Lindblad, Joakim

Ingår i 15th International Conference on Image Analysis and Processing, s. 929-938, 2009

• DOI för Pixel Coverage Segmentation for Improved Feature Estimation

Deterministic Defuzzification based on Spectral Projected Gradient Optimization

Lukic, Tibor; Sladoje, Natasa; Lindblad, Joakim

Ingår i 30th Symposium of the German Association for Pattern Recognition (DAGM), s. 476-485, 2008

• DOI för Deterministic Defuzzification based on Spectral Projected Gradient Optimization

Defuzzification by Feature Distance Minimization Based on DC Programming

Lindblad, Joakim; Lukic, Tibor; Sladoje, Natasa

Ingår i 5th International Symposium on Image and Signal Processing and Analysis, 2007, s. 373-378, 2007

• DOI för Defuzzification by Feature Distance Minimization Based on DC Programming

Feature Based Defuzzification at Increased Spatial Resolution

Lindblad, Joakim; Sladoje, Natasa

Ingår i Combinatorial Image Analysis, s. 131-143, 2006

• DOI för Feature Based Defuzzification at Increased Spatial Resolution

Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach

Lindblad, Joakim; Sladoje, Natasa; Lukic, Tibor

Ingår i Discrete Geometry for Computer Imagery 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006. Proceedings, s. 379-390, 2006

• DOI för Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach

Estimation of moments of digitized objects with fuzzy borders

Sladoje, Natasa; Lindblad, Joakim

Ingår i Proc. of 13th International Conference on Image Analysis and Processing, s. 188-195, 2005

• DOI för Estimation of moments of digitized objects with fuzzy borders

Defuzzification of discrete objects by optimizing area and perimeter similarity

Sladoje, Natasa; Lindblad, Joakim; Nyström, Ingela

Ingår i Proceedings of International Conference on Pattern Recognition (ICPR 2004), s. 526-629, 2004

• DOI för Defuzzification of discrete objects by optimizing area and perimeter similarity

Shape Description of Fuzzy Segmented Objects: Area and Perimeter Estimators

Sladoje, Natasa; Nyström, Ingela; Saha, Punam K.

Ingår i Proceedings of SSAB (Swedish Society for Automated Image Analysis) Symposium on Image Analysis, Stockholm, Sweden, s. 17-20, 2003

Perimeter and Area Estimations of Digitized Objects with Fuzzy Borders

Sladoje, Natasa; Nyström, Ingela; Saha, Punam K.

Ingår i Proceedings of 11th International Conference on Discrete Geometry for Computer Imagery (DGCI 2003), s. 368-377, 2003

• DOI för Perimeter and Area Estimations of Digitized Objects with Fuzzy Borders

Measuring perimeter and area in low resolution images using a fuzzy approach

Sladoje, Natasa; Nyström, Ingela; Saha, Punam K.

Ingår i Proceedings of 13th Scandinavian Conference on Image Analysis (SCIA 2003), s. 853-860, 2003

• DOI för Measuring perimeter and area in low resolution images using a fuzzy approach

The Reconstruction of the Digital Hyperbola Segment from Its Code

Sladoje, Natasa

Ingår i International Conference on Discrete Geometry for Computer Imagery, s. 159-170, 2000

• DOI för The Reconstruction of the Digital Hyperbola Segment from Its Code

A characterization of digital disks by discrete moments

Zunic, Jovisa; Sladoje, Nataša

Ingår i International Conference on Computer Analysis of Images and Patterns, s. 582-589, 1997

• DOI för A characterization of digital disks by discrete moments

Ellipses estimation from their digitization

Sladoje, Nataša

Ingår i International Conference on Discrete Geometry for Computer Imagery, s. 187-198, 1997

• DOI för Ellipses estimation from their digitization

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

Lu, Jiahao; Sladoje, Natasa; Runow Stark, Christina; Darai Ramqvist, Eva et al.

2019

Fast and Robust Symmetric Image Registration Based on Intensity and Spatial Information

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2018

Can representation learning for multimodal image registration be improved by supervision of intermediate layers?

Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša

• DOI för Can representation learning for multimodal image registration be improved by supervision of intermediate layers?

Sensitive key instance detection: Helping a cytotechnologist to find a needle in a haystack

Koriakina, Nadezhda; Sladoje, Nataša; Basic, Vladimir; Lindblad, Joakim

BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows

Rubens, Ulysse; Mormont, Romain; Baecker, Volker; Michiels, Gino et al.

• DOI för BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows

Combinatorial Image Analysis -: 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16-18, 2020, Proceedings

Lukic, Tibor; Barneva, Reneta; Brimkov, Valentin; Comic, Lidija et al.

2020

• DOI för Combinatorial Image Analysis -: 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16-18, 2020, Proceedings

Perimeter estimation based on grey level object representation

Sladoje, Natasa; Lindblad, Joakim

2008

A Brief Review on Benno Artman's "Euclid - The Creation of Mathematics"

Sladoje, Natasa

2005

Review of scientific papers on fuzzy shape analysis

Sladoje, Natasa

2005

A report on 10th Summer School on Image Processing

Sladoje, Natasa

2002

Reviews on Scientific Papers on Application of Fuzzy Set Theory in Image Segmentation

Sladoje, Natasa

2002

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

Sladoje, Nataša; Miura, Kota

Springer, 2022

• DOI för Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

Discrete Geometry and Mathematical Morphology: First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24–27, 2021, Proceedings

Lindblad, Joakim; Malmberg, Filip; Sladoje, Natasa

Springer, 2021

• DOI för Discrete Geometry and Mathematical Morphology: First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24–27, 2021, Proceedings

Bioimage Data Analysis Workflows

Miura, Kota; Sladoje, Natasa

Springer, 2019

• DOI för Bioimage Data Analysis Workflows
• Ladda ner fulltext (pdf) av Bioimage Data Analysis Workflows

The NEUBIAS Gateway: A hub for bioimage analysis methods and materials.

Cimini, Beth A; Nørrelykke, Simon F; Louveaux, Marion; Sladoje, Natasa et al.

2020

• DOI för The NEUBIAS Gateway: A hub for bioimage analysis methods and materials.