Jesper Molin
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Explore the profile of Jesper Molin including associated specialties, affiliations and a list of published articles.
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10
Citations
188
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Recent Articles
1.
Stahlbom E, Molin J, Lundstrom C, Ynnerman A
IEEE Trans Vis Comput Graph
. 2024 Apr;
31(4):2211-2222.
PMID: 38587947
Genomics is at the core of precision medicine, and there are high expectations on genomics-enabled improvement of patient outcomes in the years to come. Around the world, initiatives to increase...
2.
Stahlbom E, Molin J, Ynnerman A, Lundstrom C
Front Bioinform
. 2023 Apr;
3:1112649.
PMID: 37063648
In this perspective article we discuss a certain type of research on visualization for bioinformatics data, namely, methods targeting clinical use. We argue that in this subarea additional complex challenges...
3.
Boden A, Molin J, Garvin S, West R, Lundstrom C, Treanor D
Histopathology
. 2021 Feb;
79(2):210-218.
PMID: 33590577
Aims: One of the major drivers of the adoption of digital pathology in clinical practice is the possibility of introducing digital image analysis (DIA) to assist with diagnostic tasks. This...
4.
Veta M, Heng Y, Stathonikos N, Bejnordi B, Beca F, Wollmann T, et al.
Med Image Anal
. 2019 Mar;
54:111-121.
PMID: 30861443
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-intensive task. Previous...
5.
Hofener H, Homeyer A, Weiss N, Molin J, Lundstrom C, Hahn H
Comput Med Imaging Graph
. 2018 Oct;
70:43-52.
PMID: 30286333
Background: Deep convolutional neural networks have become a widespread tool for the detection of nuclei in histopathology images. Many implementations share a basic approach that includes generation of an intermediate...
6.
Kost H, Homeyer A, Molin J, Lundstrom C, Hahn H
J Pathol Inform
. 2017 Jun;
8:21.
PMID: 28584683
Background: Generating good training datasets is essential for machine learning-based nuclei detection methods. However, creating exhaustive nuclei contour annotations, to derive optimal training data from, is often infeasible. Methods: We...
7.
Cervin I, Molin J, Lundstrom C
J Pathol Inform
. 2016 Aug;
7:32.
PMID: 27563491
Background: Today, pathology reporting consists of many separate tasks, carried out by multiple people. Common tasks include dictation during case review, transcription, verification of the transcription, report distribution, and report...
8.
Molin J, Lundstrom C, Fjeld M
J Pathol Inform
. 2015 Mar;
6:7.
PMID: 25774318
This paper describes work presented at the Nordic Symposium on Digital Pathology 2014, Linköping, Sweden. Quick and seamless integration between input devices and the navigation of digital slides remains a...
9.
Molin J, Fjeld M, Mello-Thoms C, Lundstrom C
Histopathology
. 2014 Dec;
67(2):185-92.
PMID: 25487230
Aims: In order to develop efficient digital pathology workstations, we studied the navigation patterns of pathologists diagnosing whole-slide images. To gain a better understanding of these patterns, we built a...
10.
Thorstenson S, Molin J, Lundstrom C
J Pathol Inform
. 2014 May;
5(1):14.
PMID: 24843825
Recent technological advances have improved the whole slide imaging (WSI) scanner quality and reduced the cost of storage, thereby enabling the deployment of digital pathology for routine diagnostics. In this...