Raf Van de Plas

According to our database, Raf Van de Plas authored at least 9 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Thermal background reduction for mid-infrared imaging by low-rank background and sparse point-source modelling.

Roger A. R. Moens, A. G. M. Pietrow, B. Brandl, Raf Van de Plas

CoRR, April, 2026

2025

Signal Recovery Using a Spiked Mixture Model.

Paul-Louis Delacour, Sander Wahls, Jeffrey M. Spraggins, Lukasz G. Migas, Raf Van de Plas

IEEE Trans. Signal Process., 2025

Preserving full spectrum information in imaging mass spectrometry data reduction.

Roger A. R. Moens, Lukasz G. Migas, Jacqueline M. Van Ardenne, Eric P. Skaar, Jeffrey M. Spraggins, Raf Van de Plas

Bioinform., 2025

2024

Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry.

Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Lukasz G. Migas, Raf Van de Plas, Jeffrey M. Spraggins, Aydogan Ozcan

CoRR, 2024

2019

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.

Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson

Nat., 2019

2011

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data.

Marco Signoretto, Raf Van de Plas, Bart De Moor, Johan A. K. Suykens

IEEE Signal Process. Lett., 2011

2010

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.

Fabian Ojeda, Marco Signoretto, Raf Van de Plas, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens

Proceedings of the Pattern Recognition in Bioinformatics, 2010

2008

Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry.

Raf Van de Plas, Bart De Moor, Etienne Waelkens

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007

Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis.

Raf Van de Plas, Fabian Ojeda, Maarten Dewil, Ludo Van Den Bosch, Bart De Moor, Etienne Waelkens

Proceedings of the Biocomputing 2007, 2007