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Carolina Wählby
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- affiliation: Uppsala University, Sweden
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2020 – today
- 2024
- [j12]Eduard Chelebian
, Christophe Avenel
DEPICTER: Deep representation clustering for histology annotation. Comput. Biol. Medicine 170: 108026 (2024) - [c27]Eduard Chelebian, Christophe Avenel, Carolina Wählby:
Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images. ISBI 2024: 1-5 - [i8]Eduard Chelebian, Christophe Avenel, Carolina Wählby:
What makes for good morphology representations for spatial omics? CoRR abs/2407.20660 (2024) - 2023
- [j11]Philip J. Harrison
Evaluating the utility of brightfield image data for mechanism of action prediction. PLoS Comput. Biol. 19(7) (2023) - [j10]Erik Hallström
Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy. PLoS Comput. Biol. 19(11) (2023) - [c26]Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg:
Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. GbRPR 2023: 139-148 - [i7]Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg:
Cell segmentation of in situ transcriptomics data using signed graph partitioning. CoRR abs/2312.04181 (2023) - 2022
- [j9]Sergio Marco Salas, Xiao Yuan
De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks. PLoS Comput. Biol. 18(8) (2022) - [j8]Ankit Gupta
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) - [c25]Antti Ahola
Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei. CinC 2022: 1-4 - [i6]Eduard Chelebian, Francesco Ciompi, Carolina Wählby:
Seeded iterative clustering for histology region identification. CoRR abs/2211.07425 (2022) - 2021
- [j7]Håkan Wieslander
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. IEEE J. Biomed. Health Informatics 25(2): 371-380 (2021) - [j6]Leslie Solorzano
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides. IEEE J. Biomed. Health Informatics 25(2): 393-402 (2021) - 2020
- [j5]Leslie Solorzano, Gabriele Partel
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data. Bioinform. 36(15): 4363-4365 (2020) - [c24]Gabriele Partel
Graph-based image decoding for multiplexed in situ RNA detection. ICPR 2020: 3783-3790 - [c23]Nicolas Pielawski
In Silico Prediction of Cell Traction Forces. ISBI 2020: 877-881 - [c22]Anindya Gupta, Veronica Larsson, Damian J. Matuszewski, Staffan Strömblad, Carolina Wählby:
Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning. ISBI 2020: 1626-1629 - [c21]Axel Andersson, Gabriele Partel
Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning. ISBI 2020: 1630-1633 - [c20]Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje:
CoMIR: Contrastive Multimodal Image Representation for Registration. NeurIPS 2020 - [i5]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)
2010 – 2019
- 2019
- [i4]Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby:
Whole slide image registration for the study of tumor heterogeneity. CoRR abs/1901.08317 (2019) - [i3]Peter Ström, Kimmo Kartasalo
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR abs/1907.01368 (2019) - [i2]Nicolas Pielawski, Carolina Wählby:
Introducing Hann windows for reducing edge-effects in patch-based image segmentation. CoRR abs/1910.07831 (2019) - 2018
- [c19]Leslie Solorzano, Gabriela M. Almeida
Whole Slide Image Registration for the Study of Tumor Heterogeneity. COMPAY/OMIA@MICCAI 2018: 95-102 - [i1]Gabriele Partel, Giorgia Milli, Carolina Wählby:
Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model. CoRR abs/1802.08894 (2018) - 2017
- [j4]Marco Mignardi, Omer Ishaq, Xiaoyan Qian, Carolina Wählby
Bridging Histology and Bioinformatics - Computational Analysis of Spatially Resolved Transcriptomics. Proc. IEEE 105(3): 530-541 (2017) - [c18]Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby
Spheroid Segmentation Using Multiscale Deep Adversarial Networks. ICCV Workshops 2017: 36-41 - [c17]Gustav Forslid, Håkan Wieslander
Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. ICCV Workshops 2017: 82-89 - [c16]Maxime Bombrun, Petter Ranefall, Joakim Lindblad
Decoding Gene Expression in 2D and 3D. SCIA (2) 2017: 257-268 - 2016
- [j3]Sajith Kecheril Sadanandan, Ozden Baltekin, Klas E. G. Magnusson, Alexis Boucharin, Petter Ranefall, Joakim Jaldén
Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria. IEEE J. Sel. Top. Signal Process. 10(1): 174-184 (2016) - [c15]Sajith Kecheril Sadanandan, Petter Ranefall, Carolina Wählby
Feature Augmented Deep Neural Networks for Segmentation of Cells. ECCV Workshops (1) 2016: 231-243 - [c14]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 - [c13]Petter Ranefall, Sajith Kecheril Sadanandan, Carolina Wählby
Fast adaptive local thresholding based on ellipse fit. ISBI 2016: 205-208 - 2014
- [c12]Omer Ishaq, Johan Elf
An Evaluation of the Faster STORM Method for Super-resolution Microscopy. ICPR 2014: 4435-4440 - [c11]Alexandra Pacureanu, Rongqin Ke, Marco Mignardi, Mats F. Nilsson, Carolina Wählby:
Image based in situ sequencing for RNA analysis in tissue. ISBI 2014: 286-289 - 2013
- [j2]Milan Gavrilovic, Jimmy C. Azar, Joakim Lindblad
Blind Color Decomposition of Histological Images. IEEE Trans. Medical Imaging 32(6): 983-994 (2013) - [c10]Omer Ishaq, Joseph Negri, Mark-Anthony Bray, Alexandra Pacureanu
Automated quantification of Zebrafish tail deformation for high-throughput drug screening. ISBI 2013: 902-905 - 2010
- [c9]Carolina Wählby
Resolving clustered worms via probabilistic shape models. ISBI 2010: 552-555 - [c8]Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis. MICCAI (3) 2010: 634-641
2000 – 2009
- 2009
- [j1]Amin Allalou, Carolina Wählby
BlobFinder, a tool for fluorescence microscopy image cytometry. Comput. Methods Programs Biomed. 94(1): 58-65 (2009) - 2007
- [c7]Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson:
Finding Cells, Finding Molecules, Finding Patterns. MDA 2007: 104-114 - [c6]Amin Allalou, Frans M. van de Rijke, Roos Jahangir Tafrechi, Anton K. Raap, Carolina Wählby:
Image Based Measurements of Single Cell mtDNA Mutation Load. SCIA 2007: 631-640 - 2006
- [c5]Karin Althoff, Johan Degerman, Carolina Wählby, Thorleif Thorlin, Jonas Faijerson, Peter S. Eriksson, Tomas Gustavsson:
Time-Lapse Microscopy and Classification of in Vitro Cell Migration Using Hidden Markov Modeling. ICASSP (5) 2006: 1165-1168 - [c4]Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson:
Finding Cells, finding moleculaes, finding patterns. ICDM (Workshops) 2006: 15-24 - 2005
- [c3]Per Holting, Carolina Wählby
Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation. ICIAP 2005: 269-276 - [c2]Amalka Pinidiyaarachchi, Carolina Wählby
Seeded Watersheds for Combined Segmentation and Tracking of Cells. ICIAP 2005: 336-343 - 2003
- [b1]Carolina Wählby:
Algorithms for Applied Digital Image Cytometry. Uppsala University, Sweden, 2003 - [c1]Carolina Wählby, Ewert Bengtsson:
Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information. SCIA 2003: 408-414
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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