Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

The pore–solid interface and its characteristics play a key role in chemical interactions between minerals the solid soil matrix liquid pore space and, consequently, solute transport soils. Specific surface area (SSA), typically measured to characterize interface, depends not only on particle size distribution (PSD) but also shapes roughness. In this note, we investigate effects of roughness pr...