Martin Eklund

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 13

Top Venues

CoRR

J. Chem. Inf. Model.

Bioinform.

Ann. Math. Artif. Intell.

Uppsala University, Sweden (PHD)

Education History

Uppsala University, Sweden

PHD

Publications

Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. CoRR (2023)
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 AM Janssen, Mattias Rantalainen, Lars Egevad, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. CoRR (2023)
Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. CoRR (2023)
Alvaro Fernandez-Quilez, Tobias Nordström, Fredrik Jäderling, Svein Reidar Kjosavik, Martin Eklund
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection. CoRR (2023)
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks. Bioinform. 38 (13) (2022)
Olle Barreflod, Martin Koncz, Jonas Landgren, Martin Eklund
Studying the ability to use sport watches when running - insights from a small pilot study. ECIS (2022)
Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology. Bioinform. 37 (21) (2021)
Boing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies. CoRR (2021)
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks. CoRR (2021)
Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks. CoRR (2020)
Martin Eklund, Kimmo Kartasalo, Henrik Olsson, Peter Ström
The importance of study design in the application of artificial intelligence methods in medicine. npj Digit. Medicine 2 (2019)
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
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR (2019)
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
E-Science technologies in a workflow for personalized medicine using cancer screening as a case study. J. Am. Medical Informatics Assoc. 24 (5) (2017)
Behrooz Torabi Moghadam, Jonathan Alvarsson, Marcus Holm, Martin Eklund, Lars Carlsson, Ola Spjuth
Scaling Predictive Modeling in Drug Development with Cloud Computing. J. Chem. Inf. Model. 55 (1) (2015)
Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
The application of conformal prediction to the drug discovery process. Ann. Math. Artif. Intell. 74 (1-2) (2015)
Jonathan Alvarsson, Martin Eklund, Ola Engkvist, Ola Spjuth, Lars Carlsson, Jarl E. S. Wikberg, Tobias Noeske
Ligand-Based Target Prediction with Signature Fingerprints. J. Chem. Inf. Model. 54 (10) (2014)
Lars Carlsson, Martin Eklund, Ulf Norinder
Aggregated Conformal Prediction. AIAI Workshops (2014)
Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
Choosing Feature Selection and Learning Algorithms in QSAR. J. Chem. Inf. Model. 54 (3) (2014)
Jonathan Alvarsson, Martin Eklund, Claes R. Andersson, Lars Carlsson, Ola Spjuth, Jarl E. S. Wikberg
Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines. J. Chem. Inf. Model. 54 (11) (2014)
Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund
Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination. J. Chem. Inf. Model. 54 (6) (2014)
Ola Spjuth, Valentin Georgiev, Lars Carlsson, Jonathan Alvarsson, Arvid Berg, Egon L. Willighagen, Jarl E. S. Wikberg, Martin Eklund
Bioclipse-R: integrating management and visualization of life science data with statistical analysis. Bioinform. 29 (2) (2013)
David J. Wood, Lars Carlsson, Martin Eklund, Ulf Norinder, Jonna C. Stålring
QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality. J. Comput. Aided Mol. Des. 27 (3) (2013)
Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
Application of Conformal Prediction in QSAR. AIAI (2) (2012)
Ola Spjuth, Martin Eklund, Maris Lapins, Muhammad Junaid, Jarl E. S. Wikberg
Services for prediction of drug susceptibility for HIV proteases and reverse transcriptases at the HIV drug research centre. Bioinform. 27 (12) (2011)
Egon L. Willighagen, Jonathan Alvarsson, Annsofie Andersson, Martin Eklund, Samuel Lampa, Maris Lapins, Ola Spjuth, Jarl E. S. Wikberg
Linking the Resource Description Framework to cheminformatics and proteochemometrics. J. Biomed. Semant. 2 (S-1) (2011)
Ola Spjuth, Martin Eklund, Ernst Ahlberg Helgee, Scott Boyer, Lars Carlsson
Integrated Decision Support for Assessing Chemical Liabilities. J. Chem. Inf. Model. 51 (8) (2011)
Ola Spjuth, Egon L. Willighagen, Rajarshi Guha, Martin Eklund, Jarl E. S. Wikberg
Towards interoperable and reproducible QSAR analyses: Exchange of datasets. J. Cheminformatics 2 (2010)
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
An eScience-Bayes strategy for analyzing omics data. BMC Bioinform. 11 (2010)
Ola Spjuth, Jonathan Alvarsson, Arvid Berg, Martin Eklund, Stefan Kuhn, Carl Mäsak, Gilleain M. Torrance, Johannes Wagener, Egon L. Willighagen, Christoph Steinbeck, Jarl E. S. Wikberg
Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinform. 10 (2009)
Maris Lapins, Martin Eklund, Ola Spjuth, Peteris Prusis, Jarl E. S. Wikberg
Proteochemometric modeling of HIV protease susceptibility. BMC Bioinform. 9 (2008)
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
: A framework for simultaneous model selection and assessment. BMC Bioinform. 9 (2008)
Ola Spjuth, Tobias Helmus, Egon L. Willighagen, Stefan Kuhn, Martin Eklund, Johannes Wagener, Peter Murray-Rust, Christoph Steinbeck, Jarl E. S. Wikberg
Bioclipse: an open source workbench for chemo- and bioinformatics. BMC Bioinform. 8 (2007)

Martin Eklund.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Martin Eklund