### External lists

# Publications

## Edited books and proceedings

Co-editor, Bioimage Data Analysis Workflows ‒ Advanced Components and Methods, Springer 2022. |

Guest editor, J Math Imaging Vis on Discrete Geometry and Mathematical Morphology, Springer 2022. |

Co-editor, Discrete Geometry and Mathematical Morphology, Springer 2021. |

Co-editor, Combinatorial Image Analysis, Springer 2020. |

Co-editor, Bioimage Data Analysis Workflows, Springer 2019. |

Associate Editor, Pattern Recognition Letters Journal 2011-2018. |

## Reviewed publications

**2023**

- A. T. Kahraman, T. Fröding, D. Toumpanakis,
**N. Sladoje**, T. Sjöblom. Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography. Sci Rep 13, 18407 (2023). Online - G. Volpe et al. Roadmap on Deep Learning for Microscopy. Preprint
- E. Wetzer, J. Lindblad,
**N. Sladoje**. Can representation learning for multimodal image registration be improved by supervision of intermediate layers? In Proc. of the 11th Iberian Conf. on Pattern Recognition and Image Analysis, IbPRIA 2023, LNCS-14062, pp. 261-275, Alicante, Spain, June 2023. Online Preprint - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. PLoS ONE 18(3):e0282432. Online. Preprint - L. Nordling, J. Öfverstedt, J. Lindblad,
**N. Sladoje**. Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. In Proc. of the Int. Symp. on Biomedical Imaging,ISBI2023, Cartagena, Colombia, 2023, pp. 1-5, IEEE. Online

**2022**

- E. Breznik, E. Wetzer, J. Lindblad,
**N. Sladoje**. Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. Preprint - N. Koriakina,
**N. Sladoje**, V. Bašić, J. Lindblad. Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. Preprint. - A. Andersson, N. Koriakina,
**N. Sladoje**, J. Lindblad. End-to-end Multiple Instance Learning with Gradient Accumulation. In Proc. of the IEEE Intern. Conf. on Big Data (Big Data 2022), pp. 2742-2746, 2022. Online Preprint - M. Fraile, C. Fawcett, J. Lindblad,
**N. Sladoje**, G. Castellano. End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability. In Proc. of the 2022 Intern. Conf. on Multimodal Interaction (ICMI 2022, Assoc. for Computing Machinery), pp. 444-454, 2022. Online - J. Lu, J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Is image-to-image translation the panacea for multimodal image registration? A comparative study. PLoS ONE 17(11): e0276196, 2022. Online, Open Access Preprint - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields. In Proc. of the Workshop on Biomedical Image Registration, WBIR 2022. Lecture Notes in Computer Science, vol 13386. Online Preprint - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognition Letters 159:196-203,2022. Online, Open access

**2021**

- M. Fraile, J. Lindblad, C. Fawcett,
**N. Sladoje**, G. Castellano. Automatic analysis of infant engagement during play: An end-to-end learning and Explainable AI pilot experiment. In Companion Publication of the 2021 Intern. Conf. on Multimodal Interaction (ICMI '21 Companion). Assoc. for Computing Machinery, NY, USA, 403–407, 2021. Online - N. Koriakina,
**N. Sladoje**, J. Lindblad. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning. In Proc. of the 12th IEEE Intern. Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, Zagreb, Croatia, 2021. Online **N. Sladoje**, J. Lindblad. Introduction-Computer-assisted analysis of multimodal image data. Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2, (Ed. A. Walter, J. G. Mannheim, C. J. Caruana. IOP ebooks. 2021, id. III.4.g-1-III.4.g-10 Online**N. Sladoje**, J. Lindblad, P. Paul-Gilloteaux. Computer-assisted analysis of multimodal image data-perspectives and conclusion. Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2, (Ed. A. Walter, J. G. Mannheim, C. J. Caruana. IOP ebooks. 2021, id. III.4.g-1-III.4.g-10 Online

**2020**

- N. Pielawski, E. Wetzer, J. Öfverstedt, J. Lu, C. Wählby, J. Lindblad,
**N. Sladoje**. CoMIR: Contrastive Multimodal Image Representation for Registration. Advances in Neural Information Processing Systems (NeurIPS), Vol. 33, pp. 18433-18444, 2020. Online.

Preprint, pdf - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Stochastic Distance Transform: Theory, Algorithms and Applications. Journal of Mathematical Imaging and Vision 62(5), 751-769, 2020. Open Access - R. M. Buga, T. Totu, A. Dumitru, M. Costache, I. Floroiu,
**N. Sladoje**, SG Stanciu. HISTOBREAST, A Collection of Brightfield Microscopy Images of Haematoxylin - Eosin Stained Breast Tissue. Scientific Data 7, 169, 2020. Online - U. Rubens, R. Mormont, L. Paavolainen, V. Bäcker, B. Pavie, L. A. Scholz, G. Michiels, M. Maška, D. Ünay, G. Ball, R. Hoyoux, R. Vandaele, O. Golani, S. G. Stanciu,
**N. Sladoje**, P. Paul-Gilloteaux, R. Marée, S. Tosi. BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns, Vol. 1(3), 100040, 2020. Online bioRxiv - J. Lu,
**N. Sladoje**, C. Runow Stark, E. Darai Ramqvist, J-M. Hirsch, J. Lindblad. A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. In Proc. of the Intern. Conf. of Image Analysis and Recognition, ICIAR 2020, Lecture Notes in Computer Science - LNCS 12132, pp 249-261, Springer 2020. Online, Preprint - E. Wetzer, J. Gay, H. Harlin, J. Lindblad, and
**N. Sladoje**. When texture matters: Texture-focused CNNs outperform general data augmentation and pretraining in Oral Cancer Detection. IEEE 17th International Symposium on Biomedical Imaging, ISBI2020, Iowa City, Iowa, USA, pp. 517-521, 2020. Online - B. Bajić, T. Majtner, J. Lindblad,
**N. Sladoje**. Generalized Deep Learning Framework for HEp-2 Cell Recognition Using Local Binary Pattern Maps. IET Image Processing, Vol. 14, No. 6, pp. 1201-1208, 2020. Online

**2019**

- T. Majtner, B. Bajić, J. Lindblad,
**N. Sladoje**, V. Blanes-Vidal, E. S. Nadimi. On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. In Proceedings of the Scandinavian Conference on Image Analysis, SCIA2019, Norrköping, Sweden, Lecture Notes in Computer Science, LNCS-11482, pp. 439-451, Springer 2019. Online - J. Öfverstedt, J. Lindblad,
**N. Sladoje**. Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. IEEE Transactions on Image Processing, Vol.28(7), pp. 3584 - 3597, 2019. Open Access, Preprint - B. Bajić, J. Lindblad,
**N. Sladoje**. Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. J. Electron. Imaging 28(1), 013046, 2019. Online - J. Öfverstedt, J. Lindblad,
**N. Sladoje**. Stochastic Distance Transform. In Proceedings of the 21th International Conference on Discrete Geometry for Computer Imagery, DGCI2019, Paris, France, Lecture Notes in Computer Science, LNCS-11414, pp. 75-86, Springer 2019. Online, Preprint

**2018**

- E. Wetzer, J. Lindblad, I.-M. Sintorn, K. Hultenby,
**N. Sladoje**. Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps.In Proc. of the ECCV 2018, Workshop on BioImage Computing, Lecture Notes in Computer Science, LNCS-11134, pp. 465-475, Munich, Germany, Sept. 2018. Online - T. Totu, R. M. Buga, A. Dumitru, M. Costache,
**N. Sladoje**, and S. G. Stanciu. An objective scoring framework for histology slide image mosaics applicable for the reliable benchmarking of image quality assessment algorithms. IEEE Access, 2018. Online - B. Bajić, A. Suveer, A. Gupta, I. Pepić, J.Lindblad,
**N. Sladoje**, I.-M. Sintorn. Denoising of Short Exposure Transmission Electron Microscopy Images for Ultrastructural Enhancement. In Proc. of the IEEE International Symposium on Biomedical Imaging, ISBI2018, Washington, D.C., USA, pp.921-925, 2018. Online

**2017**

**N. Sladoje**and J. Lindblad. Distance Between Vector-valued Representations of Objects in Images with Application in Object Detection and Classification. In Proc. of the 18th International Workshop on Combinatorial Image Analysis, IWCIA2017, Plovdiv, Bulgaria, Lecture Notes in Computer Science, LNCS-10256, pp. 243-255, Springer 2017. Online- J. Öfverstedt,
**N. Sladoje**, and J. Lindblad. Distance Between Vector-valued Fuzzy Sets based on Intersection Decomposition with Applications in Object Detection. In Proc. of the 13th International Symposium on Mathematical Morphology, ISMM2017, Fontainebleau, France, Lecture Notes in Computer Science, LNCS-10225, pp. 395-407, Springer 2017. Online - A. Suveer,
**N. Sladoje**, J. Lindblad, A. Dragomir, and I.-M. Sintorn. Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-resolution Reconstruction. In Proc. of the 20th Scandinavian Conference on Image Analysis, SCIA2017, Tromsø, Norway, Part II, Lecture Notes in Computer Science LNCS-10270, pp. 362-374, Springer 2017. Online - A. Gupta, A. Suveer, J. Lindblad, A. Dragomir, I.-M. Sintorn, and
**N. Sladoje**. Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images. In Proc. of the 20th Scandinavian Conference on Image Analysis, SCIA2017, Tromsø, Norway, Part I, Lecture Notes in Computer Science LNCS-10269, pp. 407-418, Springer 2017. Online

**2016**

- B. Bajić, J. Lindblad, and
**N. Sladoje**. Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. In Proc. of the 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016, Oulu, Finland. Online - B. Bajić, J. Lindblad, and
**N. Sladoje**. Restoration of images degraded with signal-dependent noise based on energy minimisation: an empirical study. Journal of Electronic Imaging. 25(4), 043020 2016. Online. - S. Dražić,
**N. Sladoje**, and J. Lindblad. Accurate Estimation of Feret’s diameter of a Shape from Pixel Coverage Digitization. Pattern Recognition Letters, Vol.80, pp. 37–45, 2016. Online - B. Bajić, J. Lindblad,
**N. Sladoje**. Blind Restoration of Images Degraded with Mixed Poisson-Gaussian Noise with Application in Transmission Electron Microscopy. In Proc. of 2016 IEEE Intern. Symposium on Biomedical Imaging, ISBI2016, Prague, Czech Republic, pp. 123-127, 2016. Online - A. Suveer,
**N. Sladoje**, J. Lindblad, A. Dragomir, and I.-M. Sintorn. Automated Detection of Cilia in Low Magnification Transmission Electron Microscopy Images Using Template Matching. In Proc. of 2016 IEEE Intern. Symposium on Biomedical Imaging, ISBI2016, Prague, Czech Republic, pp. 386-390, 2016. Online - V. Ilić, J. Lindblad and
**N. Sladoje**. Signature of a shape based on its pixel coverage representation. In Proc. of the 19th international conference on Discrete Geometry for Computer Imagery, DGCI 2016, Nantes, France. Lecture Notes in Computer Science, Vol. 9647, pp. 181-193, Springer 2016. Online

**2015**

- V. Ilić, J. Lindblad and
**N. Sladoje**. Precise Euclidean distance transforms in 3D from voxel coverage representation. Pattern Recognition Letters, Vol. 65(1), pp. 184-191, 2015. Online - M Delić, J. Lindblad, and
**N. Sladoje**. αLBP - a Novel Member of the Local Binary Pattern Family Based on α-cutting. In Proc. of the 9th IEEE Intern. Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, Zagreb, Croatia, pp. 13-18, 2015. Online - J. Lindblad,
**N. Sladoje**, A. Suveer, A. Dragomir, and I-M. Sintorn. High-resolution reconstruction by feature distance minimization from multiple views of an object. In Proc. of the 5th International Conference on Image Processing Theory, Tools and Applications, IPTA 2015, Orleans, France, pp. 29-34, 2015. Online - K. Lidayova, J.Lindblad,
**N. Sladoje**, H.Frimmel, C.Wang, and Ö.Smedby. Coverage Segmentation of 3D Thin Structures. In Proc. of the 5th International Conference on Image Processing Theory, Tools and Applications, IPTA 2015, Orleans, France, pp. 23-28, 2015. Online - J. Lindblad, E. Bengtsson, and
**N. Sladoje**. Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening. In Proc. of the 19th Scandinavian Conference on Image Analysis (SCIA), Copenhagen, Denmark. Lecture Notes in Computer Science, Vol. 9127, pp. 440-451, Springer, 2015. Online - J. Lindblad and
**N. Sladoje**. Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes. In Proceedings of the 12th Intern. Symposium on Mathematical Morphology (ISMM), Reykjavik, Iceland. Lecture Notes in Computer Science, Vol. 9082, pp. 645-656, Springer, 2015. Online - A. Tanács, J. Lindblad,
**N. Sladoje**, and Z. Kato. Estimation of Linear Deformations of 2D and 3D Fuzzy Objects. Pattern Recognition, Vol. 48(4), pp.1387–1399, 2015. Online

**2014**

- B. Bajić, J. Lindblad, and
**N. Sladoje**. An Evaluation of Potential Functions for Regularized Image Deblurring. In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), Algarve, Portugal. Lecture Notes in Computer Science, Vol. 8814, pp. 150–158, Springer, 2014. Online - J. Lindblad,
**N. Sladoje**, P. Malm, E. Bengtsson, R. Moshavegh, and A. Mehnert. Optimizing optics and imaging for pattern recognition based screening tasks. In Proceedings of the 22nd Int. Conf. on Pattern Recognition (ICPR), Stockholm, Sweden, pp. 3333-3338, 2014. Online - V. Ćurić, J. Lindblad,
**N. Sladoje**, H. Sarve, and G. Borgefors. A new set distance and its application to shape registration. Pattern Analysis and Applications, Vol. 17, No. 1, pp. 141-152, 2014. Online - J. Lindblad and
**N. Sladoje**. Linear time distances between fuzzy sets with applications to pattern matching and classification. IEEE Transactions on Image Processing, Vol. 23, No 1, pp. 126-136, 2014. Online

**2013**

- K. Lidayova, J. Lindblad,
**N. Sladoje**and H. Frimmel. Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction. In Proceedings of the 8th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA 2013), Trieste, Italy, 6046670, pp.83-88, 2013. Online

**2012**

**N. Sladoje**and J. Lindblad. The coverage model and its use in image processing. Book chapter in: Selected Topics on Image Processing and Cryptology (Ed. Miodrag Mihaljević), Zbornik radova (Collection of Papers), No 15(23), pp. 39-117, Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, 2012. ISSN: 0351-9406, ISBN: 978-86-80593-47-0. Online- J. Lindblad and
**N. Sladoje**. Coverage Segmentation based on Linear Unmixing and Minimization of Perimeter and Boundary Thickness.

Pattern Recognition Letters, Vol. 33, No.6, pp. 728-738, 2012. Online

**2011**

- S. Dražić, J. Lindblad,
**N. Sladoje**. Precise Estimation of the Projection of a Shape from a Pixel Coverage Representation.

In Proceedings of the 7th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia. IEEE, pp. 569-574, 2011. Online - T. Lukić, J. Lindblad,
**N. Sladoje**. Regularized image denoising based on spectral gradient optimization.

Inverse Problems, Vol. 27, No. 8, 085010, 2011. Online - V. Ćurić, J. Lindblad, and
**N. Sladoje**. Distance measures between digital fuzzy objects and their applicability in image processing. In Proceedings of the 14th International Workshop on Combinatorial Image Analysis (IWCIA2011), Madrid, Spain.

Lecture Notes in Computer Science, Vol. 6636, pp. 385-397 , 2011. Online - F. Malmberg, J. Lindblad,
**N. Sladoje**, and I. Nyström. A Graph-based Framework for Sub-pixel Image Segmentation.

Theoretical Computer Science, Vol. 412, No. 15, pp. 1338-1349, 2011. Online

Top 25 Hottest Articles in Theoretical Computer Science, 2011 **N. Sladoje**, J. Lindblad, and I. Nyström. Defuzzification of spatial fuzzy sets by feature distance minimization.

Image and Vision Computing, Vol. 29, No. 2-3, pp. 127-141, 2011. Online

**2010**

- A. Tanács, J. Lindblad,
**N. Sladoje**, and Z. Kato. Estimation of linear deformations of 3D objects.

In Proceedings of International Conference on Image Processing (ICIP), Hong Kong, China.

IEEE, pp. 153-156, 2010. Online - J. Lindblad,
**N. Sladoje**, and T Lukić. De-noising of SRµCT Fiber Images by Total Variation Minimization.

In Proceedings of the 20th International Conference on Pattern Recognition (ICPR),Istanbul, Turkey.

IEEE, pp. 4621-4624, 2010. Online

**2009**

**N. Sladoje**and J. Lindblad. High Precision Boundary Length Estimation by Utilizing Gray-Level Information.

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 2, pp. 357-363, 2009. Online

See also Tech. Rep. 33: Perimeter estimation based on grey level object representation.- J. Lindblad, V. Ćurić, and
**N. Sladoje**. On set distances and their application to image registration.

In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA),Salzburg, Austria.

IEEE, pp. 449-454, 2009. Online **N. Sladoje**, J. Lindblad. Pixel coverage segmentation for improved feature estimation.

In Proceedings of the 15th International Conference on Image Analysis and Processing (ICIAP),Vietri sul Mare, Italy.

Lecture Notes in Computer Science, Vol. 5716, pp. 929-938, 2009. Online- J. Lindblad,
**N. Sladoje**, V. Ćurić, H. Sarve, C.B. Johansson, and G. Borgefors.

Improved quantification of bone remodelling by utilizing fuzzy based segmentation.

In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA),Oslo, Norway.

Lecture Notes in Computer Science, Vol. 5575, pp. 750-759, 2009. Online - A. Tanács, C. Domokos,
**N. Sladoje**, J. Lindblad, and Z. Kato. Recovering affine deformations of fuzzy shapes.

In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA), Oslo, Norway.

Lecture Notes in Computer Science, Vol, 5575, pp. 735-744, 2009. Online

**2008**

- T. Lukić,
**N. Sladoje**, J. Lindblad. Deterministic Defuzzification based on Spectral Projected Gradient Optimization.

In Proceedings of 30th Symposium of the German Association for Pattern Recognition (DAGM), Munich, Germany.

Lecture Notes in Computer Science, Vol. 5096, pp. 476-485, 2008. Online

**2007**

**N. Sladoje**and J. Lindblad. Representation and Reconstruction of Fuzzy Disks by Moments.

Fuzzy Sets and Systems, Vol. 158, No. 5, pp. 517-534, 2007. Online- J. Lindblad, T. Lukić, and
**N. Sladoje**. Defuzzification by Feature Distance Minimization Based on DC Programming.

In Proceedings of 5th International Symposium on Image and Signal Processing and Analysis (ISPA),Istanbul, Turkey.

IEEE, pp. 373-378, 2007. Online

**2006**

- J. Lindblad,
**N. Sladoje**, and T. Lukić. Feature Based Defuzzification in Z^{2}and Z^{3}Using a Scale Space Approach.

In Proceedings of 13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006), Szeged, Hungary.

Lecture Notes in Computer Science, Vol. 4245, pp. 379-390, 2006. Online - J. Lindblad and
**N. Sladoje**. Feature Based Defuzzification at Increased Spatial Resolution.

In Proceedings of 11th International Workshop on Combinatorial Image Analysis (IWCIA2006),Berlin,Germany.

Lecture Notes in Computer Science, Vol. 4040, pp.131-143, 2006. Online

**2005**

- J. Chanussot, I. Nyström and
**N. Sladoje**. Shape Signatures of Fuzzy Star-shaped Sets Based on Distance from the Centroid.

Pattern Recognition Letters, Vol. 26(6), pp. 735-746, 2005. Online **N. Sladoje**, I. Nyström, and P.K. Saha. Measurements of digitized objects with fuzzy borders in 2D and 3D.

Image and Vision Computing, Vol. 23, pp 123-132, 2005. Online**N. Sladoje**and J. Lindblad. Estimation of Moments of Digitized Objects with Fuzzy Borders.

In Proceedings of International Conference on Image Analysis and Processing (ICIAP2005), Cagliari, Italy.

Lecture Notes in Computer Science, Vol. 3617, pp. 188-195, 2005. Online

**2004**

**N. Sladoje**, J. Lindblad and I. Nyström. Defuzzification of Discrete Objects by Optimizing Area and Perimeter Similarity.

In Procedings of 17th International Conference on Pattern Recognition (ICPR 2004), Cambridge, UK.

IEEE, Vol. 3, pp 526-529, 2004. Online

**2003**

**N. Sladoje**, I. Nyström, and P.K. Saha. Perimeter and area estimations of digitized objects with fuzzy border.

In Proceedings of Discrete Geometry for Computer Imagery (DGCI 2003), Naples, Italy.

Lecture Notes in Computer Science, Vol. 2886, pp 368-377, 2003. Online**N. Sladoje**, I. Nyström, and P.K. Saha. Measuring perimeter and area in low resolution images using a fuzzy approach.

In Proceedings of 13th Scandinavian Conference on Image Analysis (SCIA 2003), Göteborg, Sweden.

Lecture Notes in Computer Science, Vol. 2749, pp 853-860, 2003. Online

**2001**

**N. Sladoje**. The Coding Scheme for the Digital Ellipses.

In Proceedings of XIV Conference on Applied Mathematics, Novi Sad, Yugoslavia, pp. 68-75, 2001.

**2000**

- J. Zunic and
**N. Sladoje**. Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments.

IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.22, No.4, pp. 407-414, 2000. Online **N. Sladoje**. The Reconstruction of the Digital Hyperbola Segment from its Code.

In Proceedings of Discrete Geometry for Computer Imagery (DGCI 2000), Uppsala, Sweden.

Lecture Notes in Computer Science, Vol. 1953, pp. 159-170, 2000. Online

**1998**

**N. Sladoje**. A Straight Line Segment Estimation by Using Discrete Moments.

In Proceeding of XIII Conference on Applied Mathematics, Igalo, Yugoslavia, pp. 121-129, 1998.

**1997**

**N. Sladoje**and J. Zunic. A reconstruction of digital parabolas from their least squares fit representation.

Yugoslav Journal of Operations Research, Vol.7 No.2, pp 1-14, 1997.**N. Sladoje**and J. Zunic. Ellipses Estimation from their Digitization.

In Proceedings of Discrete Geometry for Computer Imagery (DGCI 1997), Montpellier, France.

Lecture Notes in Computer Science, Vol.1347, pp. 187-198, 1997.Online- J. Zunic and
**N. Sladoje**. A Characterization of Digital Disks by Discrete Moments.

In Proceedings of Computer Analysis of Images and Patterns (CAIP1997), Kiel, Germany.

Lecture Notes in Computer Science, Vol.1296, pp. 582-589, 1997. Online **N. Sladoje**. A Characterization of Ellipses by Discrete Moments.

In Proceedings of VIII International Conference on Logic and Computer Science, Novi Sad, Yugoslavia, pp. 191-197, 1997.

## Textbooks

- Tatjana Grbić, Silvia Likavec, Tibor Lukić, Jovanka Pantović,
**Nataša Sladoje**, Ljiljana Teofanov. Zbirka resenih zadataka iz Matematike I, Novi Sad, šesto (elektronsko) izdanje, 2014. (in Serbian) - Irena Čomić,
**Nataša Sladoje**. Integralni račun. Fakultet tehničkih nauka, Univerzitet u Novom Sadu, 1997. (in Serbian)

## Non-reviewed publications

- J. Gay, H. Harlin, E. Wetzer, J. Lindblad, and
**N. Sladoje**. Oral Cancer Detection: A Comparison of Texture Focused Deep Learning Approaches. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019. - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Robust Symmetric Affine Image Registration. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019. - J. Öfverstedt, J. Lindblad, and
**N. Sladoje**. Stochastic Distance Functions with Applications in Object Detection and Image Segmentation. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019. - N. Koriakina,
**N. Sladoje**, E. Bengtsson, E. Darai Ramqvist, J-M. Hirsch, C. Runow Stark, J. Lindblad. Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes. 3rd NEUBIAS Conference, Luxembourg, February 2019. - J. Gay, H. Harlin, E. Wetzer, J. Lindblad, and
**N. Sladoje**. Texture-based oral cancer detection: A performance analysis of deep learning approaches. 3rd NEUBIAS Conference, Luxembourg, February 2019. - E. Wetzer, J. Lindblad, I-M. Sintorn, K. Hultenby, and
**N. Sladoje**. Towards automated multiscale Glomeruli detection and analysis in TEM by fusion of CNN and LBP maps. 3rd NEUBIAS Conference, Luxembourg, February 2019. - M. Kalaš, L. Plantard,
**N. Sladoje**, J. Lindblad, M.A. Kirschmann, M. Jones, et al. EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (2019 update). 3rd NEUBIAS Conference, Luxembourg, February 2019. F1000Research. Feb 2019. Open Access - J. Öfverstedt,
**N. Sladoje**, J. Lindblad. Distance Between Vector-valued Images based on Intersection Decomposition with Applications in Object Detection. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Stockholm, Sweden, March 2018. - E. Wetzer, J. Lindblad, I.-M. Sintorn, K. Hultenby,
**N. Sladoje**. Towards automated multiscale imaging and analysis in TEM: Glomeruli detection by fusion of CNN and LBP maps. The 2nd Swedish Symposium on Deep Learning (SSDL), Chalmers University of Technology, September 2018. - T. Majtner, B. Bajić, S. Yildirim, J. Y. Hardeberg, J. Lindblad,
**N. Sladoje**. Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. 2018. arXiv:1808.05071 [cs.CV] - J. Lindblad, I.-M. Sintorn, A. Suveer, A. Gupta, A. Dragomir,
**N. Sladoje**. Detection and enhancement of objects in low resolution transmission electron microscopy images for multi-scale imaging and structural analysis. The 1st NEUBIAS 2020 Conference on open tools in bioimage analysis - Oeiras-Lisbon, Feb 2017. - B. Bajić, J. Lindblad, and
**N. Sladoje**. Blind deconvolution of images degraded with mixed Poisson-Gaussian noise with application in Transmission Electron Microscopy. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Uppsala, Sweden, March 2016. - A. Suveer,
**N. Sladoje**, J. Lindblad, A. Dragomir, and I.-M. Sintorn. Cilia Detection Using Template Matching in Low Magnification Electron Microscopy Images. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Uppsala, Sweden, March 2016. - B. Bajić, J. Lindblad, and
**N. Sladoje**. Performance Evaluation of Potential Functions for Regularized Image Enhancement. In Proc. of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis,

Lund, Sweden, 2015. - V. Ćurić, J. Lindblad, and
**N. Sladoje**. The Sum of Minimal Distances as a Useful Distance Measure for Image Registration.

In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis,

Uppsala, Sweden, pp. 55-58, 2010.

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