NN
Noora Neittaanmaki
University of Gothenburg
Research areas: Medicine · Oncology · Cutaneous Melanoma Detection and Management · Nonmelanoma Skin Cancer Studies · AI in cancer detection
0000-0002-8733-5510
Employment
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University of Gothenburg Associated professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (47)
- Secondary ion yield enhancement for lipids in frozen hydrated lymphoma tissue samples using water cluster SIMS Save
- Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers Save
- Exploring MPM-FLIM for diagnostics of porokeratosis-a pilot study ex vivo Save
- Hyperspectral Imaging for Lateral Tumour Demarcation of High-risk Basal Cell Carcinomas during Mohs Micrographic Surgery Save
- Long-term outcome of photodynamic therapy with hexyl aminolevulinate, 5-aminolevulinic acid nanoemulsion and methyl aminolevulinate for low-risk Basal Cell Carcinomas Save
- Mapping the Molecular Landscape of Human DLBCL by GCIB-SIMS Save
- Swedish medical students' attitudes toward artificial intelligence and effects on career plans: a survey Save
- ToF‐SIMS imaging reveals changes in tumor cell lipids during metastatic progression of melanoma Save
- Incomplete Excision Rate for Lentigo Maligna and Associated Risk Factors Save
- Deep learning model shows pathologist-level detection of sentinel node metastasis of melanoma and intra-nodal nevi on whole slide images Save
- Frequency inversion method and device for malignant melanoma detection using RF/microwaves Save
- High-intensity focused ultrasound: Safety and efficacy of a novel treatment modality for neurofibromatosis type 1 cutaneous neurofibroma Save
- Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna Save
- Basal cell carcinoma classification Save
- Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images Save
- Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions Save
- Exploring reflectance confocal microscopy as a non‑invasive diagnostic tool for genital lichen sclerosus Save
- ARTIFICIAL INTELLIGENCE IN DERMATOPATHOLOGY Save
- Digital Quantification of Melanocytic Density in Resection Margins of Lentigo Maligna Using SOX10 Versus Hematoxylin–Eosin Staining Save
- Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study Save