Henrik Gronberg

According to our database, Henrik Gronberg authored at least 8 papers between 2017 and 2026.

Collaborative distances:

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

2026

AI-based Prediction of Biochemical Recurrence from Biopsy and Prostatectomy Samples.

Andrea Camilloni, Chiara Micoli, Nita Mulliqi, Erik Everett Palm, þorgerður Pálsdóttir, Kelvin Szolnoky, Xiaoyi Ji, Sol Erika Boman, Andrea Discacciati, Henrik Grönberg, Lars Egevad, Tobias Nordström, Kimmo Kartasalo, Martin Eklund

CoRR, January, 2026

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

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

2018

AA9int: SNP interaction pattern search using non-hierarchical additive model set.

Hui-Yi Lin, Po-Yu Huang, Dung-Tsa Chen, Heng-Yuan Tung, Thomas A. Sellers, Julio M. Pow-Sang, Rosalind A. Eeles, Doug Easton, Zsofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Fredrik Wiklund, Henrik Gronberg, Christopher A. Haiman, Johanna Schleutker, Børge G. Nordestgaard, Ruth C. Travis, Freddie Hamdy, David E. Neal, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, William J. Blot, Stephen N. Thibodeau, Christiane Maier, Adam S. Kibel, Cezary Cybulski, Lisa A. Cannon-Albright, Hermann Brenner, Radka Kaneva, Jyotsna Batra, Manuel R. Teixeira, Hardev Pandha, Yong-Jie Lu, PRACTICAL Consortium, Jong Y. Park

Bioinform., 2018

2017

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.

Ola Spjuth, Andreas Karlsson, Mark Clements, Keith Humphreys, Emma Ivansson, Jim Dowling, Martin Eklund, Alexandra Jauhiainen, Kamila Czene, Henrik Gronberg, Pär Sparén, Fredrik Wiklund, Abbas Cheddad, þorgerður Pálsdóttir, Mattias Rantalainen, Linda Abrahamsson, Erwin Laure, Jan-Eric Litton, Juni Palmgren

J. Am. Medical Informatics Assoc., 2017

SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.

Hui-Yi Lin, Dung-Tsa Chen, Po-Yu Huang, Yung-Hsin Liu, Augusto Ochoa, Jovanny Zabaleta, Donald Mercante, Zhide Fang, Thomas A. Sellers, Julio M. Pow-Sang, Chia-Ho Cheng, Rosalind A. Eeles, Doug Easton, Zsofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Fredrik Wiklund, Henrik Gronberg, Christopher A. Haiman, Johanna Schleutker, Børge G. Nordestgaard, Ruth C. Travis, Freddie Hamdy, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, William J. Blot, Stephen N. Thibodeau, Christiane Maier, Adam S. Kibel, Cezary Cybulski, Lisa A. Cannon-Albright, Hermann Brenner, Radka Kaneva, Jyotsna Batra, Manuel R. Teixeira, Hardev Pandha, Yong-Jie Lu, PRACTICAL Consortium, Jong Y. Park

Bioinform., 2017