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Nita Mulliqi
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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
262021
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
242022
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
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
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
2023
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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