Kerstin Johnsson

ORCID: 0000-0002-1381-7031
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About
Contact & Profiles
Research Areas
  • Chronic Myeloid Leukemia Treatments
  • Prostate Cancer Treatment and Research
  • Bayesian Methods and Mixture Models
  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging
  • T-cell and B-cell Immunology
  • Statistical Methods and Inference
  • Gene Regulatory Network Analysis
  • Medical Imaging Techniques and Applications
  • Eosinophilic Disorders and Syndromes
  • Immune Cell Function and Interaction
  • Radiopharmaceutical Chemistry and Applications
  • Image Processing and 3D Reconstruction
  • Genetics and Plant Breeding
  • Genetic and phenotypic traits in livestock
  • Artificial Immune Systems Applications
  • Chronic Lymphocytic Leukemia Research
  • Cytomegalovirus and herpesvirus research
  • Cardiac Imaging and Diagnostics
  • Prostate Cancer Diagnosis and Treatment
  • Biometric Identification and Security
  • Digital Media Forensic Detection
  • Neural Networks and Applications
  • Genetic Mapping and Diversity in Plants and Animals

CS Diagnostics
2021

Medfield Diagnostics (Sweden)
2019

Progenics Pharmaceuticals (United States)
2018

Lund University
2014-2017

Statistics Sweden
2014

St. Elizabeth's Medical Center
2011

Tufts University
2011

University of California, Berkeley
2011

Centrallasarettet Växjö
1962

<b>Rationale:</b> Standardized staging and quantitative reporting is necessary to demonstrate the association of <sup>18</sup>F-DCFPyL PET/CT (PSMA) imaging with clinical outcome. This work introduces an automated platform implement extend Prostate Cancer Molecular Imaging Evaluation (PROMISE) criteria - aPROMISE. The objective validate performance aPROMISE in quantifying disease burden patients prostate cancer who undergo PSMA Imaging. <b>Methods:</b> was a retrospective analysis 109...

10.2967/jnumed.120.261863 article EN Journal of Nuclear Medicine 2021-05-28

Chronic infection perturbs immune homeostasis. While prior studies have reported dysregulation of effector and memory cells, little is known about the effects on naïve T cell populations. We performed a cross-sectional study chronic hepatitis C (cHCV) patients using tetramer-associated magnetic enrichment to antigen-specific inexperienced CD8 + cells (i.e., tumor or unrelated virus-specific populations in tumor-free sero-negative individuals). cHCV showed normal precursor frequencies, but...

10.7554/elife.07916 article EN cc-by eLife 2015-11-14

Abstract Purpose The application of automated image analyses could improve and facilitate standardization consistency quantification in [ 18 F]DCFPyL (PSMA) PET/CT scans. In the current study, we analytically validated aPROMISE, a software as medical device that segments organs low-dose CT images with deep learning, subsequently detects quantifies potential pathological lesions PSMA PET/CT. Methods To evaluate learning algorithm, segmentations component scans from 20 patients were compared...

10.1007/s00259-021-05497-8 article EN cc-by European Journal of Nuclear Medicine and Molecular Imaging 2021-08-31

Abstract Background Flow cytometry is a widespread single-cell measurement technology with multitude of clinical and research applications. Interpretation flow data hard; the instrumentation delicate can not render absolute measurements, hence samples only be interpreted in relation to each other while at same time comparisons are confounded by inter-sample variation. Despite this, most automated analysis methods either treat individually or ignore variation for example pooling data. A key...

10.1186/s12859-015-0862-z article EN cc-by BMC Bioinformatics 2016-01-12

In exploratory high-dimensional data analysis, local intrinsic dimension estimation can sometimes be used in order to discriminate between sets sampled from different low-dimensional structures. Global estimators many cases adapted estimation, but this leads problems with high negative bias or variance. We introduce a method that exploits the curse/blessing of dimensionality and produces have very low bias, even where is higher than number points, combination relatively show our good ability...

10.1109/tpami.2014.2343220 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2014-07-25

(1962). Angiography in two cases of ergotism. Acta Radiologica: Vol. 57, No. 4, pp. 280-284.

10.3109/00016926209171756 article EN Acta Radiologica 1962-04-01

Abstract Chronic myeloid leukemia (CML) is characterized by a specific chromosome translocation, and its pathobiology considered comparatively well understood. Thus, quantitative analysis of CML progression to blast crisis may help elucidate general mechanisms carcinogenesis cancer progression. Hitherto, it has been widely postulated that originates mainly via cell-autonomous such as secondary mutations or genomic instability. However, recent results suggest carcinogenic transformation be an...

10.1158/0008-5472.can-10-4600 article EN Cancer Research 2011-04-13

Abstract Many automated gating algorithms for flow cytometry data are based on the concept of unimodal cell populations. However, in this article, we show that criteria previously used to make decisions unimodality cannot adequately distinguish from bimodal densities. We dip and bandwidth tests unimodality, taken statistics literature, can do with consistent low error rates. These also have possibility adjust significance level handle trade‐off between failing detect a second mode seeing...

10.1002/cyto.a.23173 article EN Cytometry Part A 2017-07-31

Flow cytometry is a widespread single-cell measurement technology with multitude of clinical and research applications. Interpretation flow data hard; the instrumentation delicate can not render absolute measurements, hence samples only be interpreted in relation to each other while at same time comparisons are confounded by inter-sample variation. Despite this, current automated analysis methods either treat individually or ignore variation for example pooling data. In this article we...

10.48550/arxiv.1502.04058 preprint EN other-oa arXiv (Cornell University) 2015-01-01

&lt;div&gt;Abstract&lt;p&gt;Chronic myeloid leukemia (CML) is characterized by a specific chromosome translocation, and its pathobiology considered comparatively well understood. Thus, quantitative analysis of CML progression to blast crisis may help elucidate general mechanisms carcinogenesis cancer progression. Hitherto, it has been widely postulated that originates mainly via cell-autonomous such as secondary mutations or genomic instability. However, recent results suggest carcinogenic...

10.1158/0008-5472.c.6502872.v1 preprint EN 2023-03-30

Supplementary Materials from A Multicellular Basis for the Origination of Blast Crisis in Chronic Myeloid Leukemia

10.1158/0008-5472.22390224 preprint EN cc-by 2023-03-30

Sokal Data from A Multicellular Basis for the Origination of Blast Crisis in Chronic Myeloid Leukemia

10.1158/0008-5472.22390227 preprint EN cc-by 2023-03-30

Supplementary Materials from A Multicellular Basis for the Origination of Blast Crisis in Chronic Myeloid Leukemia

10.1158/0008-5472.22390224.v1 preprint EN cc-by 2023-03-30

Sokal Data from A Multicellular Basis for the Origination of Blast Crisis in Chronic Myeloid Leukemia

10.1158/0008-5472.22390227.v1 preprint EN cc-by 2023-03-30

&lt;div&gt;Abstract&lt;p&gt;Chronic myeloid leukemia (CML) is characterized by a specific chromosome translocation, and its pathobiology considered comparatively well understood. Thus, quantitative analysis of CML progression to blast crisis may help elucidate general mechanisms carcinogenesis cancer progression. Hitherto, it has been widely postulated that originates mainly via cell-autonomous such as secondary mutations or genomic instability. However, recent results suggest carcinogenic...

10.1158/0008-5472.c.6502872 preprint EN 2023-03-30
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