Martin Eklund - RankMe

40 papers Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-based Prediction of Biochemical Recurrence from Biopsy and Prostatectomy Samples. CoRR 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
2025	J	`jnl`	Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry. CoRR 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
2025	J	`jnl`	Finding Holes: Pathologist Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer. CoRR Kelvin Szolnoky, Anders Blilie, Nita Mulliqi, Toyonori Tsuzuki, Hemamali Samaratunga, Matteo Titus, Xiaoyi Ji, Sol Erika Boman, Einar Gudlaugsson, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Brett Delahunt, Kenneth A. Iczkowski, Theodorus H. van der Kwast, Geert J. L. H. van Leenders, Katia R. M. Leite, Chin-Chen Pan, Emiel A. M. Janssen, Martin Eklund, Lars Egevad, Kimmo Kartasalo
2025	J	`jnl`	Foundation Models - A Panacea for Artificial Intelligence in Pathology? CoRR 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
2025	J	`jnl`	Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap. Medical Image Anal. Clément Grisi, Kimmo Kartasalo, Martin Eklund, Lars Egevad, Jeroen van der Laak, Geert Litjens
2025	J	`jnl`	Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol). CoRR Anindo Saha, Joeran S. Bosma, Jasper J. Twilt, Alexander B. C. D. Ng, Aqua Asif, Kirti Magudia, Peder Larson, Qinglin Xie, Xiaodong Zhang, Chi Pham Minh, Samuel N. Gitau, Ivo G. Schoots, Martijn F. Boomsma, Renato Cuocolo, Nikolaos Papanikolaou, Daniele Regge, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Baris Turkbey, Nancy A. Obuchowski, Jurgen J. Fütterer, Anwar R. Padhani, Hashim Uddin Ahmed, Tobias Nordström, Martin Eklund, Veeru Kasivisvanathan, Maarten de Rooij, Henkjan Huisman
2024	—	`conf`	On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. CaPTion@MICCAI Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2023	J	`jnl`	Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. CoRR Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2023	J	`jnl`	Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. CoRR 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
2023	J	`jnl`	Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection. CoRR Alvaro Fernandez-Quilez, Tobias Nordström, Fredrik Jäderling, Svein Reidar Kjosavik, Martin Eklund
2023	J	`jnl`	Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. CoRR Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
2022	—	`conf`	Studying the ability to use sport watches when running - insights from a small pilot study. ECIS Olle Barreflod, Martin Koncz, Jonas Landgren, Martin Eklund
2022	J	`jnl`	Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks. Bioinform. Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
2021	J	`jnl`	OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology. Bioinform. Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori
2021	J	`jnl`	Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks. CoRR Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
2021	J	`jnl`	Using deep learning to detect patients at risk for prostate cancer despite benign biopsies. CoRR Bojing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
2020	J	`jnl`	Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks. CoRR Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund
2019	J	`jnl`	Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR 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
2019	J	`jnl`	The importance of study design in the application of artificial intelligence methods in medicine. npj Digit. Medicine Martin Eklund, Kimmo Kartasalo, Henrik Olsson, Peter Ström
2017	J	`jnl`	E-Science technologies in a workflow for personalized medicine using cancer screening as a case study. J. Am. Medical Informatics Assoc. 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
2015	J	`jnl`	Scaling Predictive Modeling in Drug Development with Cloud Computing. J. Chem. Inf. Model. Behrooz Torabi Moghadam, Jonathan Alvarsson, Marcus Holm, Martin Eklund, Lars Carlsson, Ola Spjuth
2015	J	`jnl`	The application of conformal prediction to the drug discovery process. Ann. Math. Artif. Intell. Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2014	—	`conf`	Aggregated Conformal Prediction. AIAI (Workshops) Lars Carlsson, Martin Eklund, Ulf Norinder
2014	J	`jnl`	Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines. J. Chem. Inf. Model. Jonathan Alvarsson, Martin Eklund, Claes R. Andersson, Lars Carlsson, Ola Spjuth, Jarl E. S. Wikberg
2014	J	`jnl`	Choosing Feature Selection and Learning Algorithms in QSAR. J. Chem. Inf. Model. Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2014	J	`jnl`	Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination. J. Chem. Inf. Model. Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund
2014	J	`jnl`	Ligand-Based Target Prediction with Signature Fingerprints. J. Chem. Inf. Model. Jonathan Alvarsson, Martin Eklund, Ola Engkvist, Ola Spjuth, Lars Carlsson, Jarl E. S. Wikberg, Tobias Noeske
2013	J	`jnl`	Bioclipse-R: integrating management and visualization of life science data with statistical analysis. Bioinform. Ola Spjuth, Valentin Georgiev, Lars Carlsson, Jonathan Alvarsson, Arvid Berg, Egon L. Willighagen, Jarl E. S. Wikberg, Martin Eklund
2013	J	`jnl`	QSAR with experimental and predictive distributions: an information theoretic approach for assessing model quality. J. Comput. Aided Mol. Des. David J. Wood, Lars Carlsson, Martin Eklund, Ulf Norinder, Jonna C. Stålring
2012	—	`conf`	Application of Conformal Prediction in QSAR. AIAI (2) Martin Eklund, Ulf Norinder, Scott Boyer, Lars Carlsson
2011	J	`jnl`	Integrated Decision Support for Assessing Chemical Liabilities. J. Chem. Inf. Model. Ola Spjuth, Martin Eklund, Ernst Ahlberg Helgee, Scott Boyer, Lars Carlsson
2011	J	`jnl`	Linking the Resource Description Framework to cheminformatics and proteochemometrics. J. Biomed. Semant. Egon L. Willighagen, Jonathan Alvarsson, Annsofie Andersson, Martin Eklund, Samuel Lampa, Maris Lapins, Ola Spjuth, Jarl E. S. Wikberg
2011	J	`jnl`	Services for prediction of drug susceptibility for HIV proteases and reverse transcriptases at the HIV drug research centre. Bioinform. Ola Spjuth, Martin Eklund, Maris Lapins, Muhammad Junaid, Jarl E. S. Wikberg
2010	J	`jnl`	An eScience-Bayes strategy for analyzing omics data. BMC Bioinform. Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
2010	J	`jnl`	Towards interoperable and reproducible QSAR analyses: Exchange of datasets. J. Cheminformatics Ola Spjuth, Egon L. Willighagen, Rajarshi Guha, Martin Eklund, Jarl E. S. Wikberg
2009	J	`jnl`	Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinform. 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
2009	—	`—`	eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics. Martin Eklund
2008	J	`jnl`	Proteochemometric modeling of HIV protease susceptibility. BMC Bioinform. Maris Lapins, Martin Eklund, Ola Spjuth, Peteris Prusis, Jarl E. S. Wikberg
2008	J	`jnl`	The BMC Bioinform. Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
2007	J	`jnl`	Bioclipse: an open source workbench for chemo- and bioinformatics. BMC Bioinform. Ola Spjuth, Tobias Helmus, Egon L. Willighagen, Stefan Kuhn, Martin Eklund, Johannes Wagener, Peter Murray-Rust, Christoph Steinbeck, Jarl E. S. Wikberg