Carolina Wählby

Orcid: 0000-0002-4139-7003

Affiliations:

Uppsala University, Sweden

According to our database¹, Carolina Wählby authored at least 43 papers between 2003 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

DEPICTER: Deep representation clustering for histology annotation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2024

2023

Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy.

[BibT_eX]

[DOI]

PLoS Comput. Biol., November, 2023

Evaluating the utility of brightfield image data for mechanism of action prediction.

[BibT_eX]

[DOI]

Jordi Carreras Puigvert

PLoS Comput. Biol., 2023

Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Seeded iterative clustering for histology region identification.

[BibT_eX]

[DOI]

Eduard Chelebian

Francesco Ciompi

Carolina Wählby

CoRR, 2022

Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

2021

Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

2020

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

[BibT_eX]

[DOI]

Leslie Solorzano

Gabriele Partel

Carolina Wählby

Bioinform., 2020

CoMIR: Contrastive Multimodal Image Representation for Registration.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Anindya Gupta

Veronica Larsson

Damian J. Matuszewski

Staffan Strömblad

Carolina Wählby

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Graph-based image decoding for multiplexed in situ RNA detection.

[BibT_eX]

[DOI]

Gabriele Partel

Carolina Wählby

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

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

[BibT_eX]

[DOI]

Nicolas Pielawski

Carolina Wählby

CoRR, 2019

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2019

2018

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

[BibT_eX]

[DOI]

Gabriele Partel

Giorgia Milli

Carolina Wählby

CoRR, 2018

Whole Slide Image Registration for the Study of Tumor Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Bridging Histology and Bioinformatics - Computational Analysis of Spatially Resolved Transcriptomics.

[BibT_eX]

[DOI]

Proc. IEEE, 2017

Decoding Gene Expression in 2D and 3D.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Spheroid Segmentation Using Multiscale Deep Adversarial Networks.

[BibT_eX]

[DOI]

Sajith Kecheril Sadanandan

Johan Karlsson

Carolina Wählby

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy.

[BibT_eX]

[DOI]

Christina Runow Stark

Sajith Kecheril Sadanandan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria.

[BibT_eX]

[DOI]

Sajith Kecheril Sadanandan

IEEE J. Sel. Top. Signal Process., 2016

Fast adaptive local thresholding based on ellipse fit.

[BibT_eX]

[DOI]

Petter Ranefall

Sajith Kecheril Sadanandan

Carolina Wählby

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis.

[BibT_eX]

[DOI]

Damian J. Matuszewski

Ida-Maria Sintorn

Jordi Carreras Puigvert

Carolina Wählby

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Feature Augmented Deep Neural Networks for Segmentation of Cells.

[BibT_eX]

[DOI]

Sajith Kecheril Sadanandan

Petter Ranefall

Carolina Wählby

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014

Image based in situ sequencing for RNA analysis in tissue.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

An Evaluation of the Faster STORM Method for Super-resolution Microscopy.

[BibT_eX]

[DOI]

Omer Ishaq

Johan Elf

Carolina Wählby

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Blind Color Decomposition of Histological Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Automated quantification of Zebrafish tail deformation for high-throughput drug screening.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Resolving clustered worms via probabilistic shape models.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

BlobFinder, a tool for fluorescence microscopy image cytometry.

[BibT_eX]

[DOI]

Amin Allalou

Carolina Wählby

Comput. Methods Programs Biomed., 2009

2007

Image Based Measurements of Single Cell mtDNA Mutation Load.

[BibT_eX]

[DOI]

Amin Allalou

Frans M. van de Rijke

Roos Jahangir Tafrechi

Anton K. Raap

Carolina Wählby

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Finding Cells, Finding Molecules, Finding Patterns.

[BibT_eX]

[DOI]

Proceedings of the Advances in Mass Data Analysis of Signals and Images in Medicine, 2007

2006

Finding Cells, finding moleculaes, finding patterns.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Seeded Watersheds for Combined Segmentation and Tracking of Cells.

[BibT_eX]

[DOI]

Amalka Pinidiyaarachchi

Carolina Wählby

Proceedings of the Image Analysis and Processing, 2005

Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation.

[BibT_eX]

[DOI]

Per Holting

Carolina Wählby

Proceedings of the Image Analysis and Processing, 2005

2003

Algorithms for Applied Digital Image Cytometry.

[BibT_eX]

[DOI]

Carolina Wählby

PhD thesis, 2003

Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information.

[BibT_eX]

[DOI]

Carolina Wählby

Ewert Bengtsson

Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003

Carolina Wählby

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