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ORCIDIda-Maria Sintorn
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2020 – today
- 2024
[j13]Ankit Gupta
, Ida-Maria Sintorn:
Efficient high-resolution template matching with vector quantized nearest neighbour fields. Pattern Recognit. 151: 110386 (2024)- 2023
- [j12]Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn:
Evaluating the utility of brightfield image data for mechanism of action prediction. PLoS Comput. Biol. 19(7) (2023) - [i4]Ankit Gupta, Ida-Maria Sintorn:
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields. CoRR abs/2306.15010 (2023) - 2022
- [j11]Ankit Gupta, Alan Sabirsh, Carolina Wählby, Ida-Maria Sintorn:
SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images. IEEE J. Biomed. Health Informatics 26(8): 4079-4089 (2022) - [c28]Ankit Gupta, Ida-Maria Sintorn:
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. ECCV Workshops (4) 2022: 437-453 - [i3]Ankit Gupta, Ida-Maria Sintorn:
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. CoRR abs/2210.11177 (2022) - [i2]Damian J. Matuszewski, Ida-Maria Sintorn:
Interpreting deep learning output for out-of-distribution detection. CoRR abs/2211.03637 (2022) - 2021
- [j10]Damian J. Matuszewski, Ida-Maria Sintorn:
TEM virus images: Benchmark dataset and deep learning classification. Comput. Methods Programs Biomed. 209: 106318 (2021) - 2020
- [j9]Anindya Gupta, Tonis Saar, Olev Märtens, Yannick Le Moullec, Ida-Maria Sintorn:
Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks. Int. J. Imaging Syst. Technol. 30(2): 327-339 (2020)
2010 – 2019
- 2019
- [j8]Damian J. Matuszewski, Ida-Maria Sintorn:
Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images. Comput. Methods Programs Biomed. 178: 31-39 (2019) - [c27]Amit Suveer, Anindya Gupta, Gustaf Kylberg, Ida-Maria Sintorn:
Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep Learning. ISBI 2019: 548-551 - [e1]Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger:
Image Analysis - 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11-13, 2019, Proceedings. Lecture Notes in Computer Science 11482, Springer 2019, ISBN 978-3-030-20204-0 [contents] - [i1]Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor:
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. CoRR abs/1912.09088 (2019) - 2018
- [c26]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 - [c25]Damian J. Matuszewski, Ida-Maria Sintorn:
Minimal annotation training for segmentation of microscopy images. ISBI 2018: 387-390 - [c24]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 - 2017
- [j7]Lennart Svensson, Stina Svensson, Ingela Nyström, Fredrik Nysjö, Johan Nysjö, Aurelie Laloeuf, Lianne den Hollander, Anders Brun, Sergej Masich, Linda Sandblad, Musa Sani, Ida-Maria Sintorn:
ProViz: a tool for explorative 3-D visualization and template matching in electron tomograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(6): 446-454 (2017) - [c23]Anders Hast, Gustaf Kylberg, Ida-Maria Sintorn:
An Efficient Descriptor Based on Radial Line Integration for Fast Non-invariant Matching and Registration of Microscopy Images. ACIVS 2017: 723-734 - [c22]Kristína Lidayová, Anindya Gupta, Hans Frimmel, Ida-Maria Sintorn, Ewert Bengtsson, Örjan Smedby:
Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. MIUA 2017: 182-194 - [c21]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 - [c20]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
- [j6]Gustaf Kylberg, Ida-Maria Sintorn:
On the influence of interpolation method on rotation invariance in texture recognition. EURASIP J. Image Video Process. 2016: 17 (2016) - [c19]Damian J. Matuszewski, Ida-Maria Sintorn, Jordi Carreras Puigvert, Carolina Wählby:
Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis. ICIAR 2016: 623-630 - [c18]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
- [j5]Johan Nysjö, Filip Malmberg, Ida-Maria Sintorn, Ingela Nyström:
BoneSplit -A 3D Texture Painting Tool For Interactive Bone Separation in CT Images. J. WSCG 23(2): 157-166 (2015) - [c17]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 - 2014
- [c16]Ida-Maria Sintorn, Gustaf Kylberg:
Virus Recognition Based on Local Texture. ICPR 2014: 3227-3232 - 2013
- [j4]Gustaf Kylberg, Ida-Maria Sintorn:
Evaluation of noise robustness for local binary pattern descriptors in texture classification. EURASIP J. Image Video Process. 2013: 17 (2013) - [j3]Karl B. Bernander, Kenneth Gustavsson, Bettina Selig, Ida-Maria Sintorn, Cris L. Luengo Hendriks:
Improving the stochastic watershed. Pattern Recognit. Lett. 34(9): 993-1000 (2013) - [c15]Lennart Svensson, Ida-Maria Sintorn:
A Probabilistic Template Model for Finding Macromolecules in MET Volume Images. IbPRIA 2013: 855-862 - [c14]Johan Nysjö, Albert Christersson, Ida-Maria Sintorn, Ingela Nyström, Sune Larsson, Filip Malmberg:
Precise 3D Angle Measurements in CT Wrist Images. ICIAP (2) 2013: 479-488 - 2012
- [c13]Johan Nysjö, Albert Christersson, Filip Malmberg, Ida-Maria Sintorn, Ingela Nyström:
Towards User-Guided Quantitative Evaluation of Wrist Fractures in CT Images. ICCVG 2012: 204-211 - [c12]Ida-Maria Sintorn, Gustaf Kylberg:
Regional Zernike moments for texture recognition. ICPR 2012: 1635-1638 - [c11]Lennart Svensson, Johan Nysjö, Anders Brun, Ingela Nyström, Ida-Maria Sintorn:
Rigid Template Registration in MET Images using CUDA. VISAPP (1) 2012: 418-422 - 2011
- [c10]Gustaf Kylberg, Mats Uppström, Ida-Maria Sintorn:
Virus Texture Analysis Using Local Binary Patterns and Radial Density Profiles. CIARP 2011: 573-580 - [c9]Lennart Svensson, Anders Brun, Ingela Nyström, Ida-Maria Sintorn:
Registration Parameter Spaces for Molecular Electron Tomography Images. ICIAP (1) 2011: 403-412
2000 – 2009
- 2009
- [c8]Gustaf Kylberg, Ida-Maria Sintorn, Gunilla Borgefors:
Towards Automated TEM for Virus Diagnostics: Segmentation of Grid Squares and Detection of Regions of Interest. SCIA 2009: 169-178 - 2006
- [c7]Stina Svensson, Ida-Maria Sintorn:
Hierarchical Chamfer Matching Based on Propagation of Gradient Strengths. DGCI 2006: 308-319 - 2005
- [c6]Ida-Maria Sintorn, Magnus Gedda, Susana Mata, Stina Svensson:
Medial Grey-Level Based Representation for Proteins in Volume Images. IbPRIA (2) 2005: 421-428 - [c5]Ida-Maria Sintorn, Gunilla Borgefors:
Shape Based Identification of Proteins in Volume Images. SCIA 2005: 253-262 - 2004
- [j2]Ida-Maria Sintorn, Mohammed Homman-Loudiyi, Cecilia Söderberg-Nauclér, Gunilla Borgefors:
A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images. Comput. Methods Programs Biomed. 76(2): 95-102 (2004) - [j1]Ida-Maria Sintorn, Gunilla Borgefors:
Weighted distance transforms for volume images digitized in elongated voxel grids. Pattern Recognit. Lett. 25(5): 571-580 (2004) - [c4]Ida-Maria Sintorn, Susana Mata:
Using Grey-Level And Shape Information for Decomposing Proteins In 3D Images. ISBI 2004: 800-803 - 2002
- [c3]Ida-Maria Sintorn, Gunilla Borgefors:
Weighted Distance Transforms for Images Using Elongated Voxel Grids. DGCI 2002: 244-254 - [c2]Mattias Aronsson, Ida-Maria Sintorn:
Ring shaped object detector for non-isotropic 2D images using optimized distance transform weights. ICIP (3) 2002: 985-988 - 2001
- [c1]Ida-Maria Sintorn, Gunilla Borgefors:
Weighted Distance Transforms in Rectangular Grids. ICIAP 2001: 322-326
Coauthor Index
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