Google Scholar : my papers gather over 1435 citations and I have an h-index of 17.

Published papers

  • Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning, C. Bukas, B. Jian, L. F. Rodriguez Venegas, F. De Benetti, S. Ruehling, A. Sekuboyina, J. Gempt, J. S. Kirschke, M. Piraud, J. Oberreuter, N. Navab, T. Wendler, accepted at MICCAI, 2021.
  • DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes, G. Tetteh, V. Efremov, N. D. Forkert, M. Schneider, J. Kirschke, B. Weber, C. Zimmer, M. Piraud, B. H. Menze, Frontiers in Neuroscience, 2020.
  • Spatio Temporal Risk Prediction of Future Focal Bone Lesion Emergence in Multiple Myeloma, R. Licandro, J. Hofmanninger, M. Perkonigg, S. Röhrich, M.-A. Weber, M. Wennmann, L. Kintzele, M. Piraud, B. Menze, G. Langs, Transaction on Medical Imaging, 2020.
  • Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns, M. Möller, M. Kohl, S. Braunewell, F. Kofler, B. Wiestler, J. S. Kirschke, B. H. Menze, M. Piraud, MICCAI, IMIMIC, 2020.
  • Automated analysis of whole brain vasculature using machine learning, M. I. Todorov, J. C. Paetzold, O. Schoppe, G. Tetteh, V. Efremov, K. Völgyi, M. Düring, M. Dichgans, M. Piraud, B. Menze, A. Ertürk, Nature Methods, 2020.
  • Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee, S. Shit, A. Ravi, I. Ezhov, J. Lipkova, M. Piraud, B. Menze, NeurIPS, Machine Learning with Gurantees Workshop, 2019.
  • Towards Quantitative Imaging Biomarkers of Tumor Dissemination: a Multi-scale Parametric Modeling of Multiple Myeloma, M. Piraud, M. Wennmann, L. Kintzelé, J. Hillengass, U. Keller, G. Langs, M.-A. Weber, B. H. Menze, Medical Image Analysis, vol 57, 2019.
  • Long Short Term Memory Recurrent Neural Network for MR Fingerprinting parameter estimation, N. Andriamanga, C. M. Pirkl, A. Sekuboyina, G. Buonincontri, M. I. Menzel, P. A. Gómez, M. Piraud , B. H. Menze, ESMRMB, 2019.
  • Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma, R. Licandro, J. Hofmanninger, M. Perkonigg, S. Röhrich, M.-A. Weber, M. Wennmann, L. Kintzele, M. Piraud, B. Menze, G. Langs, MIDL, 2019.
  • Knowledge-aided Convolutional Neural Networks for Small Organ Segmentation, Y. Zhao, H. Li, S. Wan, A. Sekuboyina, X. Hu, G. Tetteh, M. Piraud, B. H. Menze, IEEE J Biomed Health Inform, 2019.
  • Multi-level Activation for Segmentation of Hierarchically-nested Classes, M. Piraud, A. Sekuboyina and B. H. Menze, ECCV 2018 Workshops. Lecture Notes in Computer Science, vol 11134, 2019.
  • Hierarchal multi-class segmentation of glioma using networks with multi-level activation function, X. Hu, H. Li, Y. Zhao, C. Dong, B. H. Menze, and M. Piraud, BrainLes 2018. Lecture Notes in Computer Science, vol 11384, 2019.
  • The Liver Tumor Segmentation Benchmark (LiTS), P. Bilic, etal, to be published (arXiv:1901.04056).
  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge, S. Bakas, etal, to be published (arXiv:1811.02629).
  • Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of smoldering multiple myeloma patients, M. Wennmann, L. Kintzelé, M. Piraud, B. H. Menze, T. Hielscher, J. Hofmanninger, B. Wagner, H.-U. Kauczor, M. Merz, J. Hillengass, G. Langs and M.-A. Weber, Oncotarget, 9 25254, 2018.
  • Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods, L. Xu, G. Tetteh, J. Lipkova, Y. Zhao, H. Li, P. Christ, M. Piraud, A. Buck, K. Shi and B. Menze, Contrast Media & Molecular Imaging 2018, 2391925, 2018.
  • W-Net for Whole-Body Bone Lesion Detection of Multiple Myeloma Patients on 68Ga-Pentixafor PET/CT Imaging, L. Xu, G. Tetteh, M. Mustafa, J. Lipkova, Y. Zhao, M. Bieth, P. Christ, M. Piraud, B. Menze and K. Shi, CMMI/RAMBO/SWITCH 2017, LNCS 10555, pp. 23-30, 2017.
  • Precursor of Laughlin state of hard core bosons on a two leg ladder, A. Petrescu, M. Piraud, G. Roux, I. P. McCulloch and K. Le Hur, Phys. Rev. B, 96 014524, 2017.
  • Symmetry-broken states in a system of interacting bosons on a two-leg ladder with a uniform Abelian gauge field, S. Greschner, M. Piraud, F. Heidrich-Meisner, I. P. McCulloch, U. Schollwöck, and T. Vekua, Phys. Rev. A, 94 063628, 2016.
  • Spontaneous Increase of Magnetic Flux and Chiral-Current Reversal in Bosonic Ladders: Swimming against the Tide, S. Greschner, M. Piraud, F. Heidrich-Meisner, I. P. McCulloch, U. Schollwöck, and T. Vekua, Phys. Rev. Lett., 115 190402, 2015.
  • Strongly interacting bosons on a three-leg ladder in the presence of a homogeneous flux, F. Kolley, M. Piraud, I. P. McCulloch, U. Schollwöck, and F. Heidrich-Meisner, New J. Phys., 17 092001, 2015.
  • Vortex and Meissner phases of strongly-interacting bosons on a two-leg ladder, M. Piraud, F. Heidrich-Meisner, I. P. McCulloch, S. Greschner, T. Vekua, and U. Schollwöck, Phys. Rev. B, 91 140406(R), 2015.
  • Anderson Localization of Matter Waves in 3D Anisotropic Disordered Potentials, M. Piraud, L. Sanchez-Palencia and B. Van Tiggelen, Phys. Rev. A, 90 063639, 2014.
  • Quantum magnetism of bosons with synthetic gauge fields in one-dimensional optical lattices: A density-matrix renormalization-group study, M. Piraud, Z. Cai, I. P. McCulloch, and U. Schollwöck, Phys. Rev. A, 89 063618, 2014.
  • Effects of Interactions and Temperature in Disordered Ultra-Cold Bose Gases, C. Adolphs, J. Towers, M. Piraud, K. V. Krutitsky and D. A. W. Hutchinson, J. Mod. Phys., 5 661-672, 2014.
  • Quantum transport of atomic matterwaves in anisotropic 2D and 3D disorder, M. Piraud, L. Pezzé and L. Sanchez-Palencia, New J. Phys., 15 075007, 2013.
  • Tailoring Anderson localization by disorder correlations in 1D speckle potentials, M. Piraud and L. Sanchez-Palencia, Eur. Phys. J. Special topics, 217 91, 2013.
  • Matter wave transport and Anderson localization in anisotropic three-dimensional disorder, M. Piraud, L. Pezzé and L. Sanchez-Palencia, Europhys. Lett., 99 50003, 2012.
  • Anderson localization of matter waves in tailored disordered potentials, M. Piraud, A. Aspect and L. Sanchez-Palencia, Phys. Rev. A, 85 063611, 2012.
  • Three-dimensional localization of ultracold atoms in an optical disordered potential, F. Jendrzejewski, A. Bernard, K. Mueller, P. Cheinet, V. Josse, M. Piraud, L. Pezzé, L. Sanchez-Palencia, A. Aspect and P. Bouyer, Nature Phys., 8 398 , 2012.
  • Localization of a matter wave packet in a disordered potential, M. Piraud, P. Lugan, P. Bouyer, A. Aspect and L. Sanchez-Palencia, Phys. Rev. A, 83 031603(R), 2011.
  • Preprints

  • Quantification of focal lesion volumes and diffuse infiltration in longitudinal wb-MRI reveal spatial growth heterogeneity between tumor sites and endpoint-related MRI progression patterns in smoldering multiple myeloma, M. Wennmann, T. Hielscher, L. Kintzelé, M. Piraud, B. H. Menze, G. Langs, M. Merz, H. Schlemmer, S. Delorme, H. Goldschmidt, N. Weinhold, J. Hillengass, M.-A. Weber, submitted, 2020.
  • Model-aware Recurrent Neural Network for prediction of tumor growth and response to treatment in Low-Grade Glioma: towards treatment personalization, A. G. Padilla, M. I. Menzel, G. Arampatzis, F. Ducray, B. H. Menze, M. Piraud, submitted, 2019.