Carolina Wählby

About Carolina Wählby

Carolina Wählby, With an exceptional h-index of 35 and a recent h-index of 27 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of digital image processing and analysis, machine learning, spatially resolved molecular profiling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Carolina Wählby

DEPICTER: Deep representation clustering for histology annotation

PACMan: A software package for automated single‐cell chlorophyll fluorometry

Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics

Harmonizing the Generation and Pre-publication Stewardship of FAIR Image data

Spatial transcriptome mapping of the desmoplastic growth pattern of colorectal liver metastases by in situ sequencing reveals a biologically relevant zonation of the …

A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung

Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3

Carolina Wählby Information

University

Position

Professor of Quantitative Microscopy Dept. IT Sweden

Citations(all)

5571

Citations(since 2020)

3093

Cited By

3567

hIndex(all)

35

hIndex(since 2020)

27

i10Index(all)

72

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Carolina Wählby Skills & Research Interests

digital image processing and analysis

machine learning

spatially resolved molecular profiling

Top articles of Carolina Wählby

Carolina Wählby

2024/2/29

Carolina Wählby
Carolina Wählby

H-Index: 22

DEPICTER: Deep representation clustering for histology annotation

Computers in Biology and Medicine

2024/3/1

PACMan: A software package for automated single‐cell chlorophyll fluorometry

Cytometry Part A

2024/3

Carolina Wählby
Carolina Wählby

H-Index: 22

Lars Behrendt
Lars Behrendt

H-Index: 11

Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics

2024/2/13

Spatial transcriptome mapping of the desmoplastic growth pattern of colorectal liver metastases by in situ sequencing reveals a biologically relevant zonation of the …

2024

Mats Nilsson
Mats Nilsson

H-Index: 5

Carolina Wählby
Carolina Wählby

H-Index: 22

A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung

Nature Cell Biology

2023/2

Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3

Biological Imaging

2023

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

PLoS Computational Biology

2023/11/13

Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning

2023/8/24

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

PLOS Computational Biology

2023/7/25

TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data

Exploration and Quality Assessment of Large-Scale Spatial Omics Data

2023

Optimizing Xenium In Situ data utility by quality assessment and best practice analysis workflows

BioRxiv

2023/2/14

Points2Regions: Fast Interactive Clustering ofin SituTranscriptomics Data

2022/12/10

Points2Regions: Fast, interactive clustering of imaging-based spatial transcriptomics data

bioRxiv

2022/12/10

Seeded iterative clustering for histology region identification

2022/11/14

Is brightfield all you need for mechanism of action prediction?

bioRxiv

2022/1/1

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

2022/9/4

Carolina Wählby
Carolina Wählby

H-Index: 22

Automated detection of vascular remodeling in tumor‐draining lymph nodes by the deep‐learning tool HEV‐finder

The Journal of Pathology

2022/9

Carolina Wählby
Carolina Wählby

H-Index: 22

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

PLoS Computational Biology

2022/8/12

See List of Professors in Carolina Wählby University(Uppsala Universitet)

Co-Authors

academic-engine