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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, Francesco Ciompi, Carolina Wählby:
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, 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) - [j10]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) - [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, 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) - [j8]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) - [c25]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: 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, 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): 371-380 (2021) - [j6]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): 393-402 (2021) - 2020
- [j5]Leslie Solorzano, Gabriele Partel, Carolina Wählby:
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data. Bioinform. 36(15): 4363-4365 (2020) - [c24]Gabriele Partel, Carolina Wählby:
Graph-based image decoding for multiplexed in situ RNA detection. ICPR 2020: 3783-3790 - [c23]Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby:
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, Leslie Solorzano, Carolina Wählby:
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, 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 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, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby:
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, 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: 82-89 - [c16]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: 257-268 - 2016
- [j3]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): 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, Carolina Wählby:
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, Carolina Wählby, Ewert Bengtsson, Christer Busch, Ingrid B. Carlbom:
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, Randall T. Peterson, Carolina Wählby:
Automated quantification of Zebrafish tail deformation for high-throughput drug screening. ISBI 2013: 902-905 - 2010
- [c9]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: 552-555 - [c8]Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby:
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 21:18 CEST by the dblp team
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