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ORCIDMartin Eklund
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2020 – today
- 2024
[c4]Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez:
On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. CaPTion@MICCAI 2024: 73-82- 2023
- [i8]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
:
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. CoRR abs/2307.05519 (2023) - [i7]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 abs/2308.05344 (2023) - [i6]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 abs/2308.06477 (2023) - [i5]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 abs/2309.08381 (2023) - 2022
- [j21]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): 3462-3469 (2022) - [c3]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 - 2021
- [j20]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): 3995-3997 (2021) - [i4]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 abs/2104.09310 (2021) - [i3]Bojing 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 abs/2106.14256 (2021) - 2020
- [i2]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 abs/2004.01589 (2020)
2010 – 2019
- 2019
- [j19]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) - [i1]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 abs/1907.01368 (2019) - 2017
- [j18]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): 950-957 (2017) - 2015
- [j17]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): 117-132 (2015) - [j16]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): 19-25 (2015) - 2014
- [j15]Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson:
Choosing Feature Selection and Learning Algorithms in QSAR. J. Chem. Inf. Model. 54(3): 837-843 (2014) - [j14]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): 1596-1603 (2014) - [j13]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): 2647-2653 (2014) - [j12]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): 3211-3217 (2014) - [c2]Lars Carlsson, Martin Eklund, Ulf Norinder:
Aggregated Conformal Prediction. AIAI Workshops 2014: 231-240 - 2013
- [j11]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): 286-289 (2013) - [j10]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): 203-219 (2013) - 2012
- [c1]Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson:
Application of Conformal Prediction in QSAR. AIAI (2) 2012: 166-175 - 2011
- [j9]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): 1719-1720 (2011) - [j8]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): S6 (2011) - [j7]Ola Spjuth, Martin Eklund, Ernst Ahlberg Helgee, Scott Boyer, Lars Carlsson:
Integrated Decision Support for Assessing Chemical Liabilities. J. Chem. Inf. Model. 51(8): 1840-1847 (2011) - 2010
- [j6]Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg:
An eScience-Bayes strategy for analyzing omics data. BMC Bioinform. 11: 282 (2010) - [j5]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: 5 (2010)
2000 – 2009
- 2009
- [b1]Martin Eklund:
eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics. Uppsala University, Sweden, 2009 - [j4]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: 397 (2009) - 2008
- [j3]Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg:
The C1C2: A framework for simultaneous model selection and assessment. BMC Bioinform. 9 (2008) - [j2]Maris Lapins, Martin Eklund, Ola Spjuth, Peteris Prusis, Jarl E. S. Wikberg:
Proteochemometric modeling of HIV protease susceptibility. BMC Bioinform. 9 (2008) - 2007
- [j1]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)
Coauthor Index
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