Nina Linder

Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting

Lundin, Johan; Suutala, Antti; Holmström, Oscar; Henriksson, Samuel et al.

Part of PLoS Neglected Tropical Diseases, 2024

• DOI for Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
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AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review

von Bahr, Joar; Diwan, Vinod; Mårtensson, Andreas; Linder, Nina et al.

Part of JMIR Research Protocols, 2024

• DOI for AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review

A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma

Stenman, Sebastian; Linder, Nina; Lundin, Mikael; Haglund, Caj et al.

Part of PLOS ONE, 2022

• DOI for A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
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Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma

Stenman, Sebastian; Bychkov, Dmitrii; Kucukel, Hakan; Linder, Nina et al.

Part of IEEE journal of biomedical and health informatics, p. 422-428, 2021

• DOI for Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
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Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Holmström, Oscar; Linder, Nina; Kaingu, Harrison; Mbuuko, Ngali et al.

Part of JAMA Network Open, 2021

• DOI for Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting

Lundin, Johan; Suutala, Antti; Holmström, Oscar; Henriksson, Samuel et al.

Part of PLoS Neglected Tropical Diseases, 2024

• DOI for Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
• Download full text (pdf) of Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting

AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review

von Bahr, Joar; Diwan, Vinod; Mårtensson, Andreas; Linder, Nina et al.

Part of JMIR Research Protocols, 2024

• DOI for AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review

A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma

Stenman, Sebastian; Linder, Nina; Lundin, Mikael; Haglund, Caj et al.

Part of PLOS ONE, 2022

• DOI for A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
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Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma

Stenman, Sebastian; Bychkov, Dmitrii; Kucukel, Hakan; Linder, Nina et al.

Part of IEEE journal of biomedical and health informatics, p. 422-428, 2021

• DOI for Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
• Download full text (pdf) of Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma

Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Holmström, Oscar; Linder, Nina; Kaingu, Harrison; Mbuuko, Ngali et al.

Part of JAMA Network Open, 2021

• DOI for Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Human leukocyte antigen-G expression correlates with histological grade but not with prognosis in colorectal carcinoma

Kaprio, Tuomas; Sariola, Hannu; Linder, Nina; Lundin, Johan et al.

Part of HLA, p. 213-217, 2021

• DOI for Human leukocyte antigen-G expression correlates with histological grade but not with prognosis in colorectal carcinoma

Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

Bychkov, Dmitrii; Linder, Nina; Tiulpin, Aleksei; Kücükel, Hakan et al.

Part of Scientific Reports, 2021

• DOI for Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
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Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia

Wedenoja, Satu; Yoshihara, Masahito; Teder, Hindrek; Sariola, Hannu et al.

Part of EBioMedicine, 2020

• DOI for Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia
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A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.

Holmström, Oscar; Stenman, Sebastian; Suutala, Antti; Moilanen, Hannu et al.

Part of PLOS ONE, 2020

• DOI for A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.
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Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis

Fortino, Vittorio; Wisgrill, Lukas; Werner, Paulina; Suomela, Sari et al.

Part of Proceedings of the National Academy of Sciences of the United States of America, p. 33474-33485, 2020

• DOI for Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis
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Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications

Vaisman, Alon; Linder, Nina; Lundin, Johan; Orchanian-Cheff, Ani et al.

Part of Bulletin of the World Health Organization, p. 288-289, 2020

• DOI for Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications
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Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis

Kessel, Klaus; Mattila, Jaakko; Linder, Nina; Kivelä, Tero et al.

Part of OCULAR ONCOLOGY AND PATHOLOGY, p. 58-65, 2020

• DOI for Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis

Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours

Linder, Nina; Taylor, Jenny C; Colling, Richard; Pell, Robert et al.

Part of Journal of Clinical Pathology, p. 157-164, 2019

• DOI for Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours

Detection of breast cancer lymph node metastases in frozen sections with a point-of care low-cost microscope scanner

Holmstrom, Oscar; Linder, Nina; Moilanen, Hannu; Suutala, Antti et al.

Part of PLOS ONE, 2019

• DOI for Detection of breast cancer lymph node metastases in frozen sections with a point-of care low-cost microscope scanner
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Breast cancer outcome prediction with tumour tissue images and machine learning

Turkki, Riku; Byckhov, Dmitrii; Lundin, Mikael; Isola, Jorma et al.

Part of Breast Cancer Research and Treatment, p. 41-52, 2019

• DOI for Breast cancer outcome prediction with tumour tissue images and machine learning
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Deep learning based tissue analysis predicts outcome in colorectal cancer

Bychkov, Dmitrii; Linder, Nina; Turkki, Riku; Nordling, Stig et al.

Part of Scientific Reports, 2018

• DOI for Deep learning based tissue analysis predicts outcome in colorectal cancer
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Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium

Holmström, Oscar; Linder, Nina; Ngasala, Billy; Mårtensson, Andreas et al.

Part of Global Health Action, 2017

• DOI for Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium
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