Seuraa
Nita Mulliqi
Nita Mulliqi
PhD Student at Karolinska Institute
Vahvistettu sähköpostiosoite verkkotunnuksessa ki.se
Nimike
Viittaukset
Viittaukset
Vuosi
Artificial intelligence for diagnosis and Gleason grading of prostate cancer in biopsies—current status and next steps
K Kartasalo, W Bulten, B Delahunt, PHC Chen, H Pinckaers, H Olsson, ...
European Urology Focus 7 (4), 687-691, 2021
282021
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
H Olsson, K Kartasalo, N Mulliqi, M Capuccini, P Ruusuvuori, ...
Nature communications 13 (1), 7761, 2022
272022
The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection
N Mulliqi, S Yildirim, A Mohammed, L Ahmedi, H Wang, O Elezaj, ...
2020 IEEE International Conference on Image Processing (ICIP), 380-384, 2020
92020
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
N Mulliqi, K Kartasalo, H Olsson, X Ji, L Egevad, M Eklund, P Ruusuvuori
Bioinformatics 37 (21), 3995-3997, 2021
52021
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria
L Egevad, B Delahunt, KA Iczkowski, T van der Kwast, ...
Histopathology 82 (6), 837-845, 2023
22023
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis
X Ji, R Salmon, N Mulliqi, U Khan, Y Wang, A Blilie, H Olsson, ...
arXiv preprint arXiv:2307.05519, 2023
12023
A Python application programming interface for accessing Philips iSyntax whole slide images for computational pathology
N Mulliqi, K Kartasalo, H Olsson, X Ji, L Egevad, M Eklund, P Ruusuvuori
Medical Imaging with Deep Learning, 2022
12022
A robust artificial intelligence approach for histopathological evaluation of prostate biopsies
European Urology 81, 2022
2022
Physical Color Calibration of Digital Pathology Scanners for Deep Learning Based Diagnosis of Prostate Cancer
X Ji, R Salmon, N Mulliqi, H Olsson, L Egevad, P Ruusuvuori, M Eklund, ...
Medical Imaging with Deep Learning, 2022
2022
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Artikkelit 1–9