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2020 – today
- 2024
[c48]Swarnadip Chatterjee, Orcun Göksel, Natasa Sladoje, Joakim Lindblad:
Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning. ICPR (27) 2024: 408-421- [i15]Wenyi Lian, Joakim Lindblad, Christina Runow Stark, Jan-Michael Hirsch, Natasa Sladoje:
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection. CoRR abs/2407.01869 (2024) - [i14]Marc Fraile, Natalia Calvo-Barajas, Anastasia Sophia Apeiron, Giovanna Varni, Joakim Lindblad, Natasa Sladoje, Ginevra Castellano:
UpStory: the Uppsala Storytelling dataset. CoRR abs/2407.04352 (2024) - 2023
- [c47]Elisabeth Wetzer
, Joakim Lindblad, Natasa Sladoje:
Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers? IbPRIA 2023: 261-275 - [c46]Love Nordling, Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. ISBI 2023: 1-5 - [i13]Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Can representation learning for multimodal image registration be improved by supervision of intermediate layers? CoRR abs/2303.00403 (2023) - 2022
- [j22]Filip Malmberg, Joakim Lindblad, Natasa Sladoje:
Guest Editorial: Discrete Geometry and Mathematical Morphology. J. Math. Imaging Vis. 64(7): 691-692 (2022) - [j21]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognit. Lett. 159: 196-203 (2022) - [c45]Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. IEEE Big Data 2022: 2742-2746 - [c44]Marc Fraile, Christine Fawcett, Joakim Lindblad, Natasa Sladoje, Ginevra Castellano:
End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability. ICMI 2022: 444-454 - [c43]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields. WBIR 2022: 156-165 - [i12]Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. CoRR abs/2201.03597 (2022) - [i11]Nadezhda Koriakina, Natasa Sladoje, Vladimir Basic, Joakim Lindblad:
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. CoRR abs/2202.01783 (2022) - [i10]Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. CoRR abs/2203.03981 (2022) - 2021
- [c42]Marc Fraile, Joakim Lindblad, Christine Fawcett, Natasa Sladoje, Ginevra Castellano:
Automatic analysis of infant engagement during play: An end-to-end learning and Explainable AI pilot experiment. ICMI Companion 2021: 403-407 - [c41]Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning. ISPA 2021: 183-188 - [e2]Joakim Lindblad, Filip Malmberg, Natasa Sladoje:
Discrete Geometry and Mathematical Morphology - First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings. Lecture Notes in Computer Science 12708, Springer 2021, ISBN 978-3-030-76656-6 [contents] - [i9]Jiahao Lu, Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study. CoRR abs/2103.16262 (2021) - [i8]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. CoRR abs/2106.14699 (2021) - [i7]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields. CoRR abs/2110.10156 (2021) - 2020
- [j20]Buda Bajic, Tomás Majtner, Joakim Lindblad, Natasa Sladoje:
Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps. IET Image Process. 14(6): 1201-1208 (2020) - [j19]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Stochastic Distance Transform: Theory, Algorithms and Applications. J. Math. Imaging Vis. 62(5): 751-769 (2020) - [j18]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, Ofra Golani, Stefan G. Stanciu, Natasa Sladoje, Perrine Paul-Gilloteaux, Raphaël Marée, Sébastien Tosi:
BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns 1(3): 100040 (2020) - [c40]Jiahao Lu, Natasa Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michael Hirsch, Joakim Lindblad:
A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. ICIAR (2) 2020: 249-261 - [c39]Elisabeth Wetzer, Jo Gay, Hugo Harlin, Joakim Lindblad, Natasa Sladoje:
When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection. ISBI 2020: 517-521 - [c38]Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje:
CoMIR: Contrastive Multimodal Image Representation for Registration. NeurIPS 2020 - [e1]Tibor Lukic, Reneta P. Barneva, Valentin E. Brimkov, Lidija Comic, Natasa Sladoje:
Combinatorial Image Analysis - 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16-18, 2020, Proceedings. Lecture Notes in Computer Science 12148, Springer 2020, ISBN 978-3-030-51001-5 [contents] - [i6]Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje:
CoMIR: Contrastive Multimodal Image Representation for Registration. CoRR abs/2006.06325 (2020) - [i5]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. CoRR abs/2012.07208 (2020)
2010 – 2019
- 2019
- [j17]Buda Bajic, Joakim Lindblad, Natasa Sladoje:
Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. J. Electronic Imaging 28(1): 013046 (2019) - [j16]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. IEEE Trans. Image Process. 28(7): 3584-3597 (2019) - [c37]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Stochastic Distance Transform. DGCI 2019: 75-86 - [c36]Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi:
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. SCIA 2019: 439-451 - [i4]Jiahao Lu, Natasa Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michael Hirsch, Joakim Lindblad:
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. CoRR abs/1910.10549 (2019) - 2018
- [j15]Tiberiu Totu, Roxana M. Buga, Adrian Dumitru, Mariana Costache, Natasa Sladoje, Stefan G. Stanciu:
An Objective Scoring Framework for Histology Slide Image Mosaics Applicable for the Reliable Benchmarking of Image Quality Assessment Algorithms. IEEE Access 6: 53080-53091 (2018) - [c35]Elisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, Natasa Sladoje:
Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps. ECCV Workshops (6) 2018: 465-475 - [c34]Buda Bajic, Amit Suveer, Anindya Gupta, Ivana Pepic, Joakim Lindblad, Natasa Sladoje, Ida-Maria Sintorn:
Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement. ISBI 2018: 921-925 - [i3]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Fast and Robust Symmetric Image Registration Based on Intensity and Spatial Information. CoRR abs/1807.11599 (2018) - [i2]Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje:
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. CoRR abs/1808.05071 (2018) - [i1]Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Stochastic Distance Transform. CoRR abs/1810.08097 (2018) - 2017
- [c33]Johan Öfverstedt, Natasa Sladoje, Joakim Lindblad:
Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection. ISMM 2017: 395-407 - [c32]Natasa Sladoje, Joakim Lindblad:
Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification. IWCIA 2017: 243-255 - [c31]Amit Suveer, Natasa Sladoje, Joakim Lindblad, Anca Dragomir, Ida-Maria Sintorn:
Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction. SCIA (2) 2017: 362-374 - [c30]Anindya Gupta, Amit Suveer, Joakim Lindblad, Anca Dragomir, Ida-Maria Sintorn, Natasa Sladoje:
Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images. SCIA (1) 2017: 407-418 - 2016
- [j14]Buda Bajic, Joakim Lindblad, Natasa Sladoje:
Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study. J. Electronic Imaging 25(4): 043020 (2016) - [j13]Slobodan Drazic, Natasa Sladoje, Joakim Lindblad:
Estimation of Feret's diameter from pixel coverage representation of a shape. Pattern Recognit. Lett. 80: 37-45 (2016) - [c29]Vladimir Ilic, Joakim Lindblad, Natasa Sladoje:
Signature of a Shape Based on Its Pixel Coverage Representation. DGCI 2016: 181-193 - [c28]Buda Bajic, Joakim Lindblad, Natasa Sladoje:
Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. IPTA 2016: 1-6 - [c27]Buda Bajic, Joakim Lindblad, Natasa Sladoje:
Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy. ISBI 2016: 123-127 - [c26]Amit Suveer, Natasa Sladoje, Joakim Lindblad, Anca Dragomir, Ida-Maria Sintorn:
Automated detection of cilia in low magnification transmission electron microscopy images using template matching. ISBI 2016: 386-390 - 2015
- [j12]Attila Tanács, Joakim Lindblad, Natasa Sladoje, Zoltan Kato:
Estimation of linear deformations of 2D and 3D fuzzy objects. Pattern Recognit. 48(4): 1391-1403 (2015) - [j11]Vladimir Ilic, Joakim Lindblad, Natasa Sladoje:
Precise Euclidean distance transforms in 3D from voxel coverage representation. Pattern Recognit. Lett. 65: 184-191 (2015) - [c25]Kristina Lidayova, Joakim Lindblad, Natasa Sladoje, Hans Frimmel, Chunliang Wang, Örjan Smedby:
Coverage segmentation of 3D thin structures. IPTA 2015: 23-28 - [c24]Joakim Lindblad, Natasa Sladoje, Amit Suveer, Anca Dragomir, Ida-Maria Sintorn:
High-resolution reconstruction by feature distance minimization from multiple views of an object. IPTA 2015: 29-34 - [c23]Joakim Lindblad, Natasa Sladoje:
Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes. ISMM 2015: 645-656 - [c22]Marija Delic, Joakim Lindblad, Natasa Sladoje:
αLBP - a novel member of the local binary pattern family based on α-cutting. ISPA 2015: 13-18 - [c21]Joakim Lindblad, Ewert Bengtsson, Natasa Sladoje:
Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening. SCIA 2015: 440-451 - 2014
- [j10]Vladimir Curic, Joakim Lindblad, Natasa Sladoje, Hamid Sarve, Gunilla Borgefors:
A new set distance and its application to shape registration. Pattern Anal. Appl. 17(1): 141-152 (2014) - [j9]Joakim Lindblad, Natasa Sladoje:
Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification. IEEE Trans. Image Process. 23(1): 126-136 (2014) - [c20]Buda Bajic, Joakim Lindblad, Natasa Sladoje:
An Evaluation of Potential Functions for Regularized Image Deblurring. ICIAR (1) 2014: 150-158 - [c19]Joakim Lindblad, Natasa Sladoje, Patrik Malm, Ewert Bengtsson, Ramin Moshavegh, Andrew Mehnert:
Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks. ICPR 2014: 3333-3338 - 2013
- [c18]Kristina Lidayova, Joakim Lindblad, Natasa Sladoje, Hans Frimmel:
Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction. ISPA 2013: 83-88 - 2012
- [j8]Joakim Lindblad, Natasa Sladoje:
Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness. Pattern Recognit. Lett. 33(6): 728-738 (2012) - 2011
- [j7]Natasa Sladoje, Joakim Lindblad, Ingela Nyström:
Defuzzification of spatial fuzzy sets by feature distance minimization. Image Vis. Comput. 29(2-3): 127-141 (2011) - [j6]Filip Malmberg, Joakim Lindblad, Natasa Sladoje, Ingela Nyström:
A graph-based framework for sub-pixel image segmentation. Theor. Comput. Sci. 412(15): 1338-1349 (2011) - [c17]Slobodan Drazic, Joakim Lindblad, Natasa Sladoje:
Precise estimation of the projection of a shape from a pixel coverage representation. ISPA 2011: 569-574 - [c16]Vladimir Curic, Joakim Lindblad, Natasa Sladoje:
Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing. IWCIA 2011: 385-397 - 2010
- [c15]Attila Tanács, Joakim Lindblad, Natasa Sladoje, Zoltan Kato:
Estimation of linear deformations of 3D objects. ICIP 2010: 153-156 - [c14]Joakim Lindblad, Natasa Sladoje, Tibor Lukic:
De-noising of SRµCT Fiber Images by Total Variation Minimization. ICPR 2010: 4621-4624
2000 – 2009
- 2009
- [j5]Natasa Sladoje, Joakim Lindblad:
High-Precision Boundary Length Estimation by Utilizing Gray-Level Information. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 357-363 (2009) - [c13]Natasa Sladoje, Joakim Lindblad:
Pixel Coverage Segmentation for Improved Feature Estimation. ICIAP 2009: 929-938 - [c12]Attila Tanács, Csaba Domokos, Natasa Sladoje, Joakim Lindblad, Zoltan Kato:
Recovering Affine Deformations of Fuzzy Shapes. SCIA 2009: 735-744 - [c11]Joakim Lindblad, Natasa Sladoje, Vladimir Curic, Hamid Sarve, Carina B. Johansson, Gunilla Borgefors:
Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation. SCIA 2009: 750-759 - 2008
- [c10]Tibor Lukic, Natasa Sladoje, Joakim Lindblad:
Deterministic Defuzzification Based on Spectral Projected Gradient Optimization. DAGM-Symposium 2008: 476-485 - 2007
- [j4]Natasa Sladoje, Joakim Lindblad:
Representation and reconstruction of fuzzy disks by moments. Fuzzy Sets Syst. 158(5): 517-534 (2007) - 2006
- [c9]Joakim Lindblad, Natasa Sladoje, Tibor Lukic:
Feature Based Defuzzification in Z2 and Z3 Using a Scale Space Approach. DGCI 2006: 379-390 - [c8]Joakim Lindblad, Natasa Sladoje:
Feature Based Defuzzification at Increased Spatial Resolution. IWCIA 2006: 131-143 - 2005
- [j3]Natasa Sladoje, Ingela Nyström, Punam K. Saha:
Measurements of digitized objects with fuzzy borders in 2D and 3D. Image Vis. Comput. 23(2): 123-132 (2005) - [j2]Jocelyn Chanussot, Ingela Nyström, Natasa Sladoje:
Shape signatures of fuzzy star-shaped sets based on distance from the centroid. Pattern Recognit. Lett. 26(6): 735-746 (2005) - [c7]Natasa Sladoje, Joakim Lindblad:
Estimation of Moments of Digitized Objects with Fuzzy Borders. ICIAP 2005: 188-195 - 2004
- [c6]Natasa Sladoje, Joakim Lindblad, Ingela Nyström:
Defuzzification of Discrete Objects by Optimizing Area and Perimeter Similarity. ICPR (3) 2004: 526-529 - 2003
- [c5]Natasa Sladoje, Ingela Nyström, Punam K. Saha:
Perimeter and Area Estimations of Digitized Objects with Fuzzy Borders. DGCI 2003: 368-377 - [c4]Natasa Sladoje, Ingela Nyström, Punam K. Saha:
Measuring Perimeter and Area in Low Resolution Images Using a Fuzzy Approach. SCIA 2003: 853-860 - 2000
- [j1]Jovisa D. Zunic, Natasa Sladoje:
Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments. IEEE Trans. Pattern Anal. Mach. Intell. 22(4): 407-414 (2000) - [c3]Natasa Sladoje:
The Reconstruction of the Digital Hyperbola Segment from Its Code. DGCI 2000: 159-170
1990 – 1999
- 1997
- [c2]Jovisa D. Zunic, Natasa Sladoje:
A Characterization of Digital Disks by Discrete Moments. CAIP 1997: 582-589 - [c1]Natasa Sladoje, Jovisa D. Zunic:
Ellipses Estimation from their Digitization. DGCI 1997: 187-198
Coauthor Index
[c48] [i15] [i14] [c47] [c46] [i13] [j22] [j21] [c45] [c44] [c43] [i12] [i11] [i10] [c42] [c41] [e2] [i9] [i8] [i7] [j20] [j19] [c40] [c39] [c38] [i6] [i5] [j17] [j16] [c37] [c36] [i4] [c35] [c34] [i3] [i2] [i1] [c33] [c32] [c31] [c30] [j14] [j13] [c29] [c28] [c27] [c26] [j12] [j11] [c25] [c24] [c23] [c22] [c21] [j10] [j9] [c20] [c19] [c18] [j8] [j7] [j6] [c17] [c16] [c15] [c14] [j5] [c13] [c12] [c11] [c10] [j4] [c9] [c8] [c7] [c6]
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