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Joakim Lindblad
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2020 – today
- 2024
- [c58]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 - [i16]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) - [i15]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
- [c57]Elisabeth Wetzer
, Joakim Lindblad
Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers? IbPRIA 2023: 261-275 - [c56]Love Nordling, Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. ISBI 2023: 1-5 - [i14]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
- [j20]Filip Malmberg, Joakim Lindblad, Natasa Sladoje:
Guest Editorial: Discrete Geometry and Mathematical Morphology. J. Math. Imaging Vis. 64(7): 691-692 (2022) - [j19]Johan Öfverstedt
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognit. Lett. 159: 196-203 (2022) - [c55]Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. IEEE Big Data 2022: 2742-2746 - [c54]Marc Fraile
End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability. ICMI 2022: 444-454 - [c53]Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, Ingela Nyström:
Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images. MIUA 2022: 283-297 - [c52]Johan Öfverstedt
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields. WBIR 2022: 156-165 - [i13]Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. CoRR abs/2201.03597 (2022) - [i12]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) - [i11]Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. CoRR abs/2203.03981 (2022) - 2021
- [c51]Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, Ingela Nyström:
Replacing Data Augmentation with Rotation-Equivariant CNNs in Image-Based Classification of Oral Cancer. CIARP 2021: 24-33 - [c50]Marc Fraile
Automatic analysis of infant engagement during play: An end-to-end learning and Explainable AI pilot experiment. ICMI Companion 2021: 403-407 - [c49]Nadezhda Koriakina
The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning. ISPA 2021: 183-188 - [e1]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] - [i10]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) - [i9]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) - [i8]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) - [i7]Christopher Rydell
CytoBrowser: a browser-based collaborative annotation platform for whole slide images. F1000Research 10: 226 (2021) - 2020
- [j18]Buda Bajic, Tomás Majtner
Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps. IET Image Process. 14(6): 1201-1208 (2020) - [j17]Johan Öfverstedt
Stochastic Distance Transform: Theory, Algorithms and Applications. J. Math. Imaging Vis. 62(5): 751-769 (2020) - [c48]Jiahao Lu
A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. ICIAR (2) 2020: 249-261 - [c47]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 - [c46]Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje:
CoMIR: Contrastive Multimodal Image Representation for Registration. NeurIPS 2020 - [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
- [j16]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) - [j15]Johan Öfverstedt
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. IEEE Trans. Image Process. 28(7): 3584-3597 (2019) - [c45]Johan Öfverstedt
Stochastic Distance Transform. DGCI 2019: 75-86 - [c44]Tomás Majtner
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
- [c43]Elisabeth Wetzer
Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps. ECCV Workshops (6) 2018: 465-475 - [c42]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
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
- [c41]Johan Öfverstedt
Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection. ISMM 2017: 395-407 - [c40]Natasa Sladoje, Joakim Lindblad
Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification. IWCIA 2017: 243-255 - [c39]Maxime Bombrun, Petter Ranefall, Joakim Lindblad
Decoding Gene Expression in 2D and 3D. SCIA (2) 2017: 257-268 - [c38]Amit Suveer, Natasa Sladoje, Joakim Lindblad
Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction. SCIA (2) 2017: 362-374 - [c37]Anindya Gupta
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
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) - [c36]Vladimir Ilic, Joakim Lindblad
Signature of a Shape Based on Its Pixel Coverage Representation. DGCI 2016: 181-193 - [c35]Buda Bajic, Joakim Lindblad
Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. IPTA 2016: 1-6 - [c34]Buda Bajic, Joakim Lindblad
Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy. ISBI 2016: 123-127 - [c33]Amit Suveer, Natasa Sladoje, Joakim Lindblad
Automated detection of cilia in low magnification transmission electron microscopy images using template matching. ISBI 2016: 386-390 - 2015
- [j12]Attila Tanács
Estimation of linear deformations of 2D and 3D fuzzy objects. Pattern Recognit. 48(4): 1391-1403 (2015) - [j11]Vladimir Ilic, Joakim Lindblad
Precise Euclidean distance transforms in 3D from voxel coverage representation. Pattern Recognit. Lett. 65: 184-191 (2015) - [c32]Kristina Lidayova, Joakim Lindblad
Coverage segmentation of 3D thin structures. IPTA 2015: 23-28 - [c31]Joakim Lindblad
High-resolution reconstruction by feature distance minimization from multiple views of an object. IPTA 2015: 29-34 - [c30]Joakim Lindblad
Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes. ISMM 2015: 645-656 - [c29]Marija Delic, Joakim Lindblad
αLBP - a novel member of the local binary pattern family based on α-cutting. ISPA 2015: 13-18 - [c28]Joakim Lindblad
Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening. SCIA 2015: 440-451 - 2014
- [j10]Vladimir Curic, Joakim Lindblad
A new set distance and its application to shape registration. Pattern Anal. Appl. 17(1): 141-152 (2014) - [j9]Joakim Lindblad
Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification. IEEE Trans. Image Process. 23(1): 126-136 (2014) - [c27]Buda Bajic, Joakim Lindblad
An Evaluation of Potential Functions for Regularized Image Deblurring. ICIAR (1) 2014: 150-158 - [c26]Joakim Lindblad
Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks. ICPR 2014: 3333-3338 - 2013
- [j8]Milan Gavrilovic, Jimmy C. Azar, Joakim Lindblad
Blind Color Decomposition of Histological Images. IEEE Trans. Medical Imaging 32(6): 983-994 (2013) - [c25]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
- [j7]Joakim Lindblad
Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness. Pattern Recognit. Lett. 33(6): 728-738 (2012) - 2011
- [j6]Hamid Sarve, Joakim Lindblad
Extracting 3D information on bone remodeling in the proximity of titanium implants in SRμCT image volumes. Comput. Methods Programs Biomed. 102(1): 25-34 (2011) - [j5]Natasa Sladoje, Joakim Lindblad
Defuzzification of spatial fuzzy sets by feature distance minimization. Image Vis. Comput. 29(2-3): 127-141 (2011) - [j4]Filip Malmberg, Joakim Lindblad
A graph-based framework for sub-pixel image segmentation. Theor. Comput. Sci. 412(15): 1338-1349 (2011) - [c24]Slobodan Drazic, Joakim Lindblad, Natasa Sladoje:
Precise estimation of the projection of a shape from a pixel coverage representation. ISPA 2011: 569-574 - [c23]Vladimir Curic, Joakim Lindblad
Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing. IWCIA 2011: 385-397 - 2010
- [c22]Hamid Sarve, Joakim Lindblad
Methods for Visualization of Bone Tissue in the Proximity of Implants. ICCVG (2) 2010: 243-250 - [c21]Attila Tanács
Estimation of linear deformations of 3D objects. ICIP 2010: 153-156 - [c20]Joakim Lindblad
De-noising of SRµCT Fiber Images by Total Variation Minimization. ICPR 2010: 4621-4624
2000 – 2009
- 2009
- [j3]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) - [c19]Natasa Sladoje, Joakim Lindblad
Pixel Coverage Segmentation for Improved Feature Estimation. ICIAP 2009: 929-938 - [c18]Filip Malmberg, Joakim Lindblad
Sub-pixel Segmentation with the Image Foresting Transform. IWCIA 2009: 201-211 - [c17]Attila Tanács
Recovering Affine Deformations of Fuzzy Shapes. SCIA 2009: 735-744 - [c16]Joakim Lindblad
Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation. SCIA 2009: 750-759 - [c15]Hamid Sarve, Joakim Lindblad
Quantification of Bone Remodeling in SRmuCT Images of Implants. SCIA 2009: 770-779 - 2008
- [c14]Tibor Lukic, Natasa Sladoje, Joakim Lindblad
Deterministic Defuzzification Based on Spectral Projected Gradient Optimization. DAGM-Symposium 2008: 476-485 - [c13]Kristin Norell, Joakim Lindblad:
Spatially-variant morphological operations on binary images based on the polar distance transform. ICPR 2008: 1-4 - [c12]Patrick Karlsson Edlund, Joakim Lindblad
Non-uniform 3D distance transform for anisotropic signal correction in confocal image volumes of skeletal muscle cell nuclei. ISBI 2008: 1363-1366 - [c11]Hamid Sarve, Joakim Lindblad
Registration of 2D Histological Images of Bone Implants with 3D SRµCT Volumes. ISVC (1) 2008: 1071-1080 - 2007
- [j2]Natasa Sladoje, Joakim Lindblad
Representation and reconstruction of fuzzy disks by moments. Fuzzy Sets Syst. 158(5): 517-534 (2007) - [c10]Hamid Sarve, Carina B. Johansson, Joakim Lindblad, Gunilla Borgefors, Victoria Franke Stenport:
Quantification of Bone Remodeling in the Proximity of Implants. CAIP 2007: 253-260 - [c9]Kristin Norell, Joakim Lindblad
Grey Weighted Polar Distance Transform for Outlining Circular and Approximately Circular Objects. ICIAP 2007: 647-652 - 2006
- [c8]Joakim Lindblad, Natasa Sladoje, Tibor Lukic:
Feature Based Defuzzification in Z2 and Z3 Using a Scale Space Approach. DGCI 2006: 379-390 - [c7]Joakim Lindblad
Feature Based Defuzzification at Increased Spatial Resolution. IWCIA 2006: 131-143 - 2005
- [j1]Joakim Lindblad
Surface area estimation of digitized 3D objects using weighted local configurations. Image Vis. Comput. 23(2): 111-122 (2005) - [c6]Joakim Lindblad:
Surface Volume Estimation of Digitized Hyperplanes Using Weighted Local Configurations. DGCI 2005: 252-262 - [c5]Natasa Sladoje, Joakim Lindblad
Estimation of Moments of Digitized Objects with Fuzzy Borders. ICIAP 2005: 188-195 - 2004
- [c4]Natasa Sladoje, Joakim Lindblad
Defuzzification of Discrete Objects by Optimizing Area and Perimeter Similarity. ICPR (3) 2004: 526-529 - [c3]Patrick Karlsson, Joakim Lindblad:
Segmentation and Separation of Point Like Fluorescent Markers in Digital Images. ISBI 2004: 1291-1294 - 2003
- [c2]Joakim Lindblad:
Surface Area Estimation of Digitized Planes Using Weighted Local Configurations. DGCI 2003: 348-357 - 2002
- [b1]Joakim Lindblad:
Development of Algorithms for Digital Image Cytometry. Uppsala University, Sweden, 2002 - [c1]Joakim Lindblad, Ingela Nyström:
Surface Area Estimation of Digitized 3D Objects Using Local Computations. DGCI 2002: 267-278
Coauthor Index
[c58] [i16] [i15] [c57] [c56] [i14] [j20] [j19] [c55] [c54] [c52] [i13] [i12] [i11] [c50] [c49] [e1] [i10] [i9] [i8] [j18] [j17] [c48] [c47] [c46] [i6] [i5] [j16] [j15] [c45] [c44] [i4] [c43] [c42] [i3] [i2] [i1] [c41] [c40] [c38] [c37] [j14] [j13] [c36] [c35] [c34] [c33] [j12] [j11] [c32] [c31] [c30] [c29] [c28] [j10] [j9] [c27] [c26] [c25] [j7] [j5] [j4] [c24] [c23] [c21] [c20] [j3] [c19] [c17] [c16] [c14] [j2] [c8] [c7] [c5] [c4]
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last updated on 2024-12-13 19:13 CET by the dblp team
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