Leslie Solorzano

According to our database, Leslie Solorzano authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

CoRR, 2023

2022

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

CoRR, 2022

2021

Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides.

Leslie Solorzano, Carla Pereira, Diana Martins, Raquel Almeida, Fátima Carneiro, Gabriela M. Almeida, Carla Oliveira, Carolina Wählby

IEEE J. Biomed. Health Informatics, 2021

2020

TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data.

Leslie Solorzano, Gabriele Partel, Carolina Wählby

Bioinform., 2020

Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning.

Axel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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

Whole Slide Image Registration for the Study of Tumor Heterogeneity.

Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Decoding Gene Expression in 2D and 3D.

Maxime Bombrun, Petter Ranefall, Joakim Lindblad, Amin Allalou, Gabriele Partel, Leslie Solorzano, Xiaoyan Qian, Mats F. Nilsson, Carolina Wählby

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017