Nina Linder
Gästprofessor vid Institutionen för kvinnors och barns hälsa; Internationell barnhälsa och nutrition
- E-post:
- nina.linder@uu.se
- Besöksadress:
- MTC-huset, Dag Hammarskjölds väg 14B, 1 tr
752 37 Uppsala - Postadress:
- Akademiska sjukhuset
751 85 UPPSALA
Nyckelord
- cancer
- artificial intelligence
- algorithms
- deep learning
- malaria
- decision-making with algorithms
- ai
- ai4research
- cervical cancer
- neglected tropical diseases
- point-of-care
Publikationer
Senaste publikationer
Ingår i PLoS Neglected Tropical Diseases, 2024
- DOI för Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
- Ladda ner fulltext (pdf) av Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
Ingår i JMIR Research Protocols, 2024
A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
Ingår i PLOS ONE, 2022
- DOI för A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
- Ladda ner fulltext (pdf) av A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
Ingår i IEEE journal of biomedical and health informatics, s. 422-428, 2021
- DOI för Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
- Ladda ner fulltext (pdf) av Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
Ingår i JAMA Network Open, 2021
Alla publikationer
Artiklar i tidskrift
Ingår i PLoS Neglected Tropical Diseases, 2024
- DOI för Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
- Ladda ner fulltext (pdf) av Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
Ingår i JMIR Research Protocols, 2024
A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
Ingår i PLOS ONE, 2022
- DOI för A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
- Ladda ner fulltext (pdf) av A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma
Ingår i IEEE journal of biomedical and health informatics, s. 422-428, 2021
- DOI för Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
- Ladda ner fulltext (pdf) av Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma
Ingår i JAMA Network Open, 2021
Ingår i HLA, s. 213-217, 2021
Ingår i Scientific Reports, 2021
- DOI för Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
- Ladda ner fulltext (pdf) av Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia
Ingår i EBioMedicine, 2020
- DOI för Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia
- Ladda ner fulltext (pdf) av Fetal HLA-G mediated immune tolerance and interferon response in preeclampsia
Ingår i PLOS ONE, 2020
- DOI för A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.
- Ladda ner fulltext (pdf) av A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.
Ingår i Proceedings of the National Academy of Sciences of the United States of America, s. 33474-33485, 2020
- DOI för Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis
- Ladda ner fulltext (pdf) av Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis
Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications
Ingår i Bulletin of the World Health Organization, s. 288-289, 2020
- DOI för Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications
- Ladda ner fulltext (pdf) av Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications
Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis
Ingår i OCULAR ONCOLOGY AND PATHOLOGY, s. 58-65, 2020
Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours
Ingår i Journal of Clinical Pathology, s. 157-164, 2019
Ingår i PLOS ONE, 2019
- DOI för Detection of breast cancer lymph node metastases in frozen sections with a point-of care low-cost microscope scanner
- Ladda ner fulltext (pdf) av Detection of breast cancer lymph node metastases in frozen sections with a point-of care low-cost microscope scanner
Breast cancer outcome prediction with tumour tissue images and machine learning
Ingår i Breast Cancer Research and Treatment, s. 41-52, 2019
- DOI för Breast cancer outcome prediction with tumour tissue images and machine learning
- Ladda ner fulltext (pdf) av Breast cancer outcome prediction with tumour tissue images and machine learning
Deep learning based tissue analysis predicts outcome in colorectal cancer
Ingår i Scientific Reports, 2018
- DOI för Deep learning based tissue analysis predicts outcome in colorectal cancer
- Ladda ner fulltext (pdf) av Deep learning based tissue analysis predicts outcome in colorectal cancer
Ingår i Global Health Action, 2017
- DOI för Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium
- Ladda ner fulltext (pdf) av Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium