Carolina Wählby

51 papers A* 1B 2Misc 2Journal 22Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Culture-free detection of bacteria from blood for rapid sepsis diagnosis. npj Digit. Medicine M. Henar Marino Miguélez, Mohammad Osaid, Erik Hallström, Kerem Kaya, Jimmy Larsson, Vinodh Kandavalli, Carolina Wählby, Johan Elf, Wouter van der Wijngaart
2025	J	`jnl`	Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal images. CoRR Eduard Chelebian, Pratiti Dasgupta, Zainalabedin Samadi, Carolina Wählby, Amjad Askary
2024	J	`jnl`	DEPICTER: Deep representation clustering for histology annotation. Comput. Biol. Medicine Eduard Chelebian, Christophe Avenel, Francesco Ciompi, Carolina Wählby
2024	—	`conf`	Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics. MIDL Eduard Chelebian, Christophe Avenel, Julio León, Chung-Chau Hon, Carolina Wählby
2024	—	`conf`	Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images. ISBI Eduard Chelebian, Christophe Avenel, Carolina Wählby
2024	J	`jnl`	What makes for good morphology representations for spatial omics? CoRR Eduard Chelebian, Christophe Avenel, Carolina Wählby
2023	—	`conf`	Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. GbRPR Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg
2023	J	`jnl`	Cell segmentation of in situ transcriptomics data using signed graph partitioning. CoRR Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg
2023	J	`jnl`	Evaluating the utility of brightfield image data for mechanism of action prediction. PLoS Comput. Biol. Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn
2023	J	`jnl`	Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy. PLoS Comput. Biol. Erik Hallström, Vinodh Kandavalli, Petter Ranefall, Johan Elf, Carolina Wählby
2022	J	`jnl`	De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks. PLoS Comput. Biol. Sergio Marco Salas, Xiao Yuan, Christer Sylven, Mats F. Nilsson, Carolina Wählby, Gabriele Partel
2022	—	`conf`	Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei. CinC Antti Ahola, Birhanu Belay, Carolina Wählby, Jari A. K. Hyttinen
2022	J	`jnl`	Seeded iterative clustering for histology region identification. CoRR Eduard Chelebian, Francesco Ciompi, Carolina Wählby
2022	J	`jnl`	SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images. IEEE J. Biomed. Health Informatics Ankit Gupta, Alan Sabirsh, Carolina Wählby, Ida-Maria Sintorn
2021	J	`jnl`	Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. IEEE J. Biomed. Health Informatics Håkan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby
2021	J	`jnl`	Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides. IEEE J. Biomed. Health Informatics Leslie Solorzano, Carla Pereira, Diana Martins, Raquel Almeida, Fátima Carneiro, Gabriela M. Almeida, Carla Oliveira, Carolina Wählby
2020	A*	`conf`	CoMIR: Contrastive Multimodal Image Representation for Registration. NeurIPS Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje
2020	J	`jnl`	CoMIR: Contrastive Multimodal Image Representation for Registration. CoRR Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje
2020	B	`conf`	Graph-based image decoding for multiplexed in situ RNA detection. ICPR Gabriele Partel, Carolina Wählby
2020	—	`conf`	In Silico Prediction of Cell Traction Forces. ISBI Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby
2020	J	`jnl`	TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data. Bioinform. Leslie Solorzano, Gabriele Partel, Carolina Wählby
2020	—	`conf`	Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning. ISBI Axel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby
2020	—	`conf`	Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning. ISBI Anindya Gupta, Veronica Larsson, Damian J. Matuszewski, Staffan Strömblad, Carolina Wählby
2019	J	`jnl`	Introducing Hann windows for reducing edge-effects in patch-based image segmentation. CoRR Nicolas Pielawski, Carolina Wählby
2019	J	`jnl`	Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR 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
2019	J	`jnl`	Whole slide image registration for the study of tumor heterogeneity. CoRR Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby
2018	J	`jnl`	Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model. CoRR Gabriele Partel, Giorgia Milli, Carolina Wählby
2018	—	`conf`	Whole Slide Image Registration for the Study of Tumor Heterogeneity. COMPAY/OMIA@MICCAI Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby
2017	J	`jnl`	Bridging Histology and Bioinformatics - Computational Analysis of Spatially Resolved Transcriptomics. Proc. IEEE Marco Mignardi, Omer Ishaq, Xiaoyan Qian, Carolina Wählby
2017	—	`conf`	Decoding Gene Expression in 2D and 3D. SCIA (2) Maxime Bombrun, Petter Ranefall, Joakim Lindblad, Amin Allalou, Gabriele Partel, Leslie Solorzano, Xiaoyan Qian, Mats F. Nilsson, Carolina Wählby
2017	—	`conf`	Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. ICCV Workshops Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan
2017	—	`conf`	Spheroid Segmentation Using Multiscale Deep Adversarial Networks. ICCV Workshops Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby
2016	—	`conf`	Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis. ICIAR Damian J. Matuszewski, Ida-Maria Sintorn, Jordi Carreras Puigvert, Carolina Wählby
2016	—	`conf`	Fast adaptive local thresholding based on ellipse fit. ISBI Petter Ranefall, Sajith Kecheril Sadanandan, Carolina Wählby
2016	—	`conf`	Feature Augmented Deep Neural Networks for Segmentation of Cells. ECCV Workshops (1) Sajith Kecheril Sadanandan, Petter Ranefall, Carolina Wählby
2016	J	`jnl`	Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria. IEEE J. Sel. Top. Signal Process. Sajith Kecheril Sadanandan, Ozden Baltekin, Klas E. G. Magnusson, Alexis Boucharin, Petter Ranefall, Joakim Jaldén, Johan Elf, Carolina Wählby
2014	B	`conf`	An Evaluation of the Faster STORM Method for Super-resolution Microscopy. ICPR Omer Ishaq, Johan Elf, Carolina Wählby
2014	—	`conf`	Image based in situ sequencing for RNA analysis in tissue. ISBI Alexandra Pacureanu, Rongqin Ke, Marco Mignardi, Mats F. Nilsson, Carolina Wählby
2013	—	`conf`	Automated quantification of Zebrafish tail deformation for high-throughput drug screening. ISBI Omer Ishaq, Joseph Negri, Mark-Anthony Bray, Alexandra Pacureanu, Randall T. Peterson, Carolina Wählby
2013	J	`jnl`	Blind Color Decomposition of Histological Images. IEEE Trans. Medical Imaging Milan Gavrilovic, Jimmy C. Azar, Joakim Lindblad, Carolina Wählby, Ewert Bengtsson, Christer Busch, Ingrid B. Carlbom
2010	—	`conf`	Morphology-Guided Graph Search for Untangling Objects: MICCAI (3) Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby
2010	—	`conf`	Resolving clustered worms via probabilistic shape models. ISBI Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter
2009	J	`jnl`	BlobFinder, a tool for fluorescence microscopy image cytometry. Comput. Methods Programs Biomed. Amin Allalou, Carolina Wählby
2007	—	`conf`	Finding Cells, Finding Molecules, Finding Patterns. MDA Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson
2007	—	`conf`	Image Based Measurements of Single Cell mtDNA Mutation Load. SCIA Amin Allalou, Frans M. van de Rijke, Roos Jahangir Tafrechi, Anton K. Raap, Carolina Wählby
2006	—	`conf`	Finding Cells, finding moleculaes, finding patterns. ICDM (Workshops) Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats F. Nilsson, Ewert Bengtsson
2006	—	`conf`	Time-Lapse Microscopy and Classification of in Vitro Cell Migration Using Hidden Markov Modeling. ICASSP (5) Karin Althoff, Johan Degerman, Carolina Wählby, Thorleif Thorlin, Jonas Faijerson, Peter S. Eriksson, Tomas Gustavsson
2005	Misc	`conf`	Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation. ICIAP Per Holting, Carolina Wählby
2005	Misc	`conf`	Seeded Watersheds for Combined Segmentation and Tracking of Cells. ICIAP Amalka Pinidiyaarachchi, Carolina Wählby
2003	—	`—`	Algorithms for Applied Digital Image Cytometry. Carolina Wählby
2003	—	`conf`	Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information. SCIA Carolina Wählby, Ewert Bengtsson