Carolina Wählby

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

Top Venues

CoRR

ISBI

IEEE J. Biomed. Health Informatics

PLoS Comput. Biol.

Uppsala University, Sweden (PHD)

Education History

Uppsala University, Sweden

PHD

Publications

Eduard Chelebian, Christophe Avenel, Francesco Ciompi, Carolina Wählby
DEPICTER: Deep representation clustering for histology annotation. Comput. Biol. Medicine 170 (2024)
Eduard Chelebian, Christophe Avenel, Carolina Wählby
What makes for good morphology representations for spatial omics? CoRR (2024)
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)
Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg
Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. GbRPR (2023)
Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg
Cell segmentation of in situ transcriptomics data using signed graph partitioning. CoRR (2023)
Erik Hallström, Vinodh Kandavalli, Petter Ranefall, Johan Elf, Carolina Wählby
Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy. PLoS Comput. Biol. 19 (11) (2023)
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) (2022)
Eduard Chelebian, Francesco Ciompi, Carolina Wählby
Seeded iterative clustering for histology region identification. CoRR (2022)
Sergio Marco Salas, Xiao Yuan, Christer Sylven, Mats F. Nilsson, Carolina Wählby, Gabriele Partel
De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks. PLoS Comput. Biol. 18 (8) (2022)
Antti Ahola, Birhanu Belay, Carolina Wählby, Jari A. K. Hyttinen
Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei. CinC (2022)
Hakan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Leslie Solorzano, Carla Pereira, Diana Martins, Raquel Almeida, Fátima Carneiro, Gabriela M. Almeida, Carla Oliveira, Carolina Wählby
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby
In Silico Prediction of Cell Traction Forces. ISBI (2020)
Leslie Solorzano, Gabriele Partel, Carolina Wählby
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data. Bioinform. 36 (15) (2020)
Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje
CoMIR: Contrastive Multimodal Image Representation for Registration. CoRR (2020)
Gabriele Partel, Carolina Wählby
Graph-based image decoding for multiplexed in situ RNA detection. ICPR (2020)
Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje
CoMIR: Contrastive Multimodal Image Representation for Registration. NeurIPS (2020)
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)
Axel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby
Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning. ISBI (2020)
Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby
Whole slide image registration for the study of tumor heterogeneity. CoRR (2019)
Nicolas Pielawski, Carolina Wählby
Introducing Hann windows for reducing edge-effects in patch-based image segmentation. CoRR (2019)
Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR (2019)
Gabriele Partel, Giorgia Milli, Carolina Wählby
Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model. CoRR (2018)
Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby
Whole Slide Image Registration for the Study of Tumor Heterogeneity. COMPAY/OMIA@MICCAI (2018)
Gustav Forslid, Hakan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan
Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. ICCV Workshops (2017)
Marco Mignardi, Omer Ishaq, Xiaoyan Qian, Carolina Wählby
Bridging Histology and Bioinformatics - Computational Analysis of Spatially Resolved Transcriptomics. Proc. IEEE 105 (3) (2017)
Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby
Spheroid Segmentation Using Multiscale Deep Adversarial Networks. ICCV Workshops (2017)
Maxime Bombrun, Petter Ranefall, Joakim Lindblad, Amin Allalou, Gabriele Partel, Leslie Solorzano, Xiaoyan Qian, Mats F. Nilsson, Carolina Wählby
Decoding Gene Expression in 2D and 3D. SCIA (2) (2017)
Petter Ranefall, Sajith Kecheril Sadanandan, Carolina Wählby
Fast adaptive local thresholding based on ellipse fit. ISBI (2016)
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)
Sajith Kecheril Sadanandan, Petter Ranefall, Carolina Wählby
Feature Augmented Deep Neural Networks for Segmentation of Cells. ECCV Workshops (1) (2016)
Sajith Kecheril Sadanandan, Ozden Baltekin, Klas E. G. Magnusson, Alexis Boucharin, Petter Ranefall, Joakim Jaldén, Johan Elf, Carolina Wählby
Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria. IEEE J. Sel. Top. Signal Process. 10 (1) (2016)
Alexandra Pacureanu, Rongqin Ke, Marco Mignardi, Mats F. Nilsson, Carolina Wählby
Image based in situ sequencing for RNA analysis in tissue. ISBI (2014)
Omer Ishaq, Johan Elf, Carolina Wählby
An Evaluation of the Faster STORM Method for Super-resolution Microscopy. ICPR (2014)
Omer Ishaq, Joseph Negri, Mark-Anthony Bray, Alexandra Pacureanu, Randall T. Peterson, Carolina Wählby
Automated quantification of Zebrafish tail deformation for high-throughput drug screening. ISBI (2013)
Milan Gavrilovic, Jimmy C. Azar, Joakim Lindblad, Carolina Wählby, Ewert Bengtsson, Christer Busch, Ingrid B. Carlbom
Blind Color Decomposition of Histological Images. IEEE Trans. Medical Imaging 32 (6) (2013)
Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby
Analysis. MICCAI (3) (2010)
Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter
Resolving clustered worms via probabilistic shape models. ISBI (2010)
Amin Allalou, Carolina Wählby
BlobFinder, a tool for fluorescence microscopy image cytometry. Comput. Methods Programs Biomed. 94 (1) (2009)
Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson
Finding Cells, Finding Molecules, Finding Patterns. MDA (2007)
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)
Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson
Finding Cells, finding moleculaes, finding patterns. ICDM (Workshops) (2006)
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)
Amalka Pinidiyaarachchi, Carolina Wählby
Seeded Watersheds for Combined Segmentation and Tracking of Cells. ICIAP (2005)
Per Holting, Carolina Wählby
Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation. ICIAP (2005)
Carolina Wählby, Ewert Bengtsson
Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information. SCIA (2003)

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Publication Activity (10 Years)

Top Topics

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Carolina Wählby