Lars Egevad

According to our database, Lars Egevad authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry.

Anders Blilie, Nita Mulliqi, Xiaoyi Ji, Kelvin Szolnoky, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, José Asenjo, Marcello Gambacorta, Paolo Libretti, Einar Gudlaugsson, Svein Reidar Kjosavik, Lars Egevad, Emiel A. M. Janssen, Martin Eklund, Kimmo Kartasalo

CoRR, April, 2025

The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology.

Sol Erika Boman, Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Einar Gudlaugsson, Emiel A. M. Janssen, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Lars Egevad, Kimmo Kartasalo

CoRR, March, 2025

Foundation Models - A Panacea for Artificial Intelligence in Pathology?

Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Henrik Olsson, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, Julia Anna Mielcarz, Masi Valkonen, Einar Gudlaugsson, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Brett Delahunt, Hemamali Samaratunga, Toyonori Tsuzuki, Emilius A. M. Janssen, Lars Egevad, Martin Eklund, Kimmo Kartasalo

CoRR, February, 2025

Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap.

Clément Grisi, Kimmo Kartasalo, Martin Eklund, Lars Egevad, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2025

2023

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

Xiaoyi Ji, Richard Salmon, Nita Mulliqi, Umair Khan, Yinxi Wang, Anders Blilie, Henrik Olsson, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Svein Reidar Kjosavik, Emilius A. M. Janssen, Mattias Rantalainen, Lars Egevad, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo

CoRR, 2023

2022

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.

Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

Bioinform., 2022

2021

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

Bojing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

CoRR, 2021

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

Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori

Bioinform., 2021

2020

Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks.

Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund

CoRR, 2020

2019

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.

Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund

CoRR, 2019