VLAM-G: A Grid-based virtual laboratory. - Hamideh Afsarmanesh; Robert G. Belleman; Adam Belloum; Ammar Benabdelkader; Gert B. Eijkel; Anne Frenkel; César Garita; David L. Groep; Ron M. A. Heeren; Zeger W. Hendrikse; Louis O. Hertzberger; Ersin Cem Kaletas; et al. (Sci. Program., 2002)

Evaluating the VLAM-G toolkit on the DAS-2. - Zeger W. Hendrikse; Adam Belloum; Philip M. R. Jonkergouw; Gert B. Eijkel; Ron M. A. Heeren; Louis O. Hertzberger; Vladimir Korkhov; Cees de Laat; Dmitry Vasunin (Future Gener. Comput. Syst., 2003)

A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls. - Mark K. Titulaer; Ivar Siccama; Lennard J. Dekker; Angelique L. C. T. van Rijswijk; Ron M. A. Heeren; Peter A. E. Sillevis Smitt; Theo M. Luider (BMC Bioinform., 2006)

Parametric Visualization of High Resolution Correlated Multi-spectral Features Using PCA. - Alexander Broersen; Robert van Liere; Ron M. A. Heeren (EuroVis, 2007)

Zooming in multi-spectral datacubes using PCA. - Alexander Broersen; Robert van Liere; Ron M. A. Heeren (Visualization and Data Analysis, 2008)

Multivariate Watershed Segmentation of Compositional Data. - Michael Hanselmann; Ullrich Köthe; Bernhard Y. Renard; Marc Kirchner; Ron M. A. Heeren; Fred A. Hamprecht (DGCI, 2009)

An Interactive, Multi-Modal Approach to Analysing High-Resolution Image Mass Spectrometry Data. - Ferdi A. Smit; Robert van Liere; Lara Fornai; Ron M. A. Heeren (VMV, 2010)

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. - Farhad Ghazvinian Zanjani; Andreas Panteli; Svitlana Zinger; Fons van der Sommen; Tao Tan 002; Benjamin Balluff; D. R. Naomi Vos; Shane R. Ellis; Ron M. A. Heeren; Marit Lucas; Henk A. Marquering; Ivo G. H. Jansen; et al. (ISBI, 2019)

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. - J. van Kersbergen; Farhad Ghazvinian Zanjani; Sveta Zinger; Fons van der Sommen; Benjamin Balluff; D. R. Naomi Vos; Shane R. Ellis; Ron M. A. Heeren; Marit Lucas; Henk A. Marquering; Ivo G. H. Jansen; C. D. Savci-Heijink; et al. (Digital Pathology, 2019)

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging. - Manon Beuque; Marta Martin-Lorenzo; Benjamin Balluff; Henry C. Woodruff; Marit Lucas; Daniel M. de Bruin; Janita E. van Timmeren; Onno J. de Boer; Ron M. A. Heeren; Sybren L. Meijer; Philippe Lambin (Comput. Biol. Medicine, 2021)