Carolina Wählby

Orcid: 0000-0002-4139-7003

Affiliations:
  • Uppsala University, Sweden


According to our database1, Carolina Wählby authored at least 45 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
DEPICTER: Deep representation clustering for histology annotation.
Comput. Biol. Medicine, March, 2024

What makes for good morphology representations for spatial omics?
CoRR, 2024

Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy.
PLoS Comput. Biol., November, 2023

Evaluating the utility of brightfield image data for mechanism of action prediction.
PLoS Comput. Biol., 2023

Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

2022
SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images.
IEEE J. Biomed. Health Informatics, 2022

De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks.
PLoS Comput. Biol., 2022

Seeded iterative clustering for histology region identification.
CoRR, 2022

Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei.
Proceedings of the Computing in Cardiology, 2022

2021
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images.
IEEE J. Biomed. Health Informatics, 2021

Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides.
IEEE J. Biomed. Health Informatics, 2021

2020
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data.
Bioinform., 2020

CoMIR: Contrastive Multimodal Image Representation for Registration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

In Silico Prediction of Cell Traction Forces.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Graph-based image decoding for multiplexed in situ RNA detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Introducing Hann windows for reducing edge-effects in patch-based image segmentation.
CoRR, 2019

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.
CoRR, 2019

2018
Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model.
CoRR, 2018

Whole Slide Image Registration for the Study of Tumor Heterogeneity.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Bridging Histology and Bioinformatics - Computational Analysis of Spatially Resolved Transcriptomics.
Proc. IEEE, 2017

Decoding Gene Expression in 2D and 3D.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Spheroid Segmentation Using Multiscale Deep Adversarial Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria.
IEEE J. Sel. Top. Signal Process., 2016

Fast adaptive local thresholding based on ellipse fit.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Feature Augmented Deep Neural Networks for Segmentation of Cells.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014
Image based in situ sequencing for RNA analysis in tissue.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

An Evaluation of the Faster STORM Method for Super-resolution Microscopy.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Blind Color Decomposition of Histological Images.
IEEE Trans. Medical Imaging, 2013

Automated quantification of Zebrafish tail deformation for high-throughput drug screening.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2010
Morphology-Guided Graph Search for Untangling Objects: <i>C. elegans</i> Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Resolving clustered worms via probabilistic shape models.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
BlobFinder, a tool for fluorescence microscopy image cytometry.
Comput. Methods Programs Biomed., 2009

2007
Image Based Measurements of Single Cell mtDNA Mutation Load.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Finding Cells, Finding Molecules, Finding Patterns.
Proceedings of the Advances in Mass Data Analysis of Signals and Images in Medicine, 2007

2006
Finding Cells, finding moleculaes, finding patterns.
Proceedings of the 6th Industrial Conference on Data Mining, Workshop Proceedings, 2006

Time-Lapse Microscopy and Classification of in Vitro Cell Migration Using Hidden Markov Modeling.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Seeded Watersheds for Combined Segmentation and Tracking of Cells.
Proceedings of the Image Analysis and Processing, 2005

Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation.
Proceedings of the Image Analysis and Processing, 2005

2003
Algorithms for Applied Digital Image Cytometry.
PhD thesis, 2003

Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information.
Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003


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