Nita Mulliqi

Nita Mulliqi

Karolinska Institutet

H-index: 4

Europe-Sweden

About Nita Mulliqi

Nita Mulliqi, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Karolinska Institutet, specializes in the field of Artificial intelligence, Biomedical Image Processing, Digital Pathology, Prostate Cancer.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

A Python application programming interface for accessing Philips iSyntax whole slide images for computational pathology

OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology

Artificial intelligence for diagnosis and Gleason grading of prostate cancer in biopsies—current status and next steps

The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection

Nita Mulliqi Information

University

Position

PhD Student at

Citations(all)

52

Citations(since 2020)

52

Cited By

0

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Karolinska Institutet

Google Scholar

View Google Scholar Profile

Nita Mulliqi Skills & Research Interests

Artificial intelligence

Biomedical Image Processing

Digital Pathology

Prostate Cancer

Top articles of Nita Mulliqi

Title

Journal

Author(s)

Publication Date

Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria

Histopathology

Lars Egevad

Brett Delahunt

Kenneth A Iczkowski

Theo van der Kwast

Geert JLH van Leenders

...

2023/5

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

arXiv preprint arXiv:2307.05519

Xiaoyi Ji

Richard Salmon

Nita Mulliqi

Umair Khan

Yinxi Wang

...

2023/7/7

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Nature communications

Henrik Olsson

Kimmo Kartasalo

Nita Mulliqi

Marco Capuccini

Pekka Ruusuvuori

...

2022/12/15

A Python application programming interface for accessing Philips iSyntax whole slide images for computational pathology

Nita Mulliqi

Kimmo Kartasalo

Henrik Olsson

Xiaoyi Ji

Lars Egevad

...

2022/4/25

OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology

Bioinformatics

Nita Mulliqi

Kimmo Kartasalo

Henrik Olsson

Xiaoyi Ji

Lars Egevad

...

2021/11/1

Artificial intelligence for diagnosis and Gleason grading of prostate cancer in biopsies—current status and next steps

Nature medicine

Wouter Bulten

Kimmo Kartasalo

Po-Hsuan Cameron Chen

Peter Ström

Hans Pinckaers

...

2022/1

The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection

Nita Mulliqi

Sule Yildirim

Ahmed Mohammed

Lule Ahmedi

Hao Wang

...

2020/10/25

See List of Professors in Nita Mulliqi University(Karolinska Institutet)