| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1782 | 2018 |
| Data augmentation for brain-tumor segmentation: a review J Nalepa, M Marcinkiewicz, M Kawulok Frontiers in computational neuroscience 13, 83, 2019 | 281 | 2019 |
| Temperature-driven massless Kane fermions in HgCdTe crystals F Teppe, M Marcinkiewicz, SS Krishtopenko, S Ruffenach, C Consejo, ... Nature communications 7 (1), 12576, 2016 | 107 | 2016 |
| Optimized U-Net for brain tumor segmentation M Futrega, A Milesi, M Marcinkiewicz, P Ribalta International MICCAI brainlesion workshop, 15-29, 2021 | 95 | 2021 |
| Hyperspectral band selection using attention-based convolutional neural networks PR Lorenzo, L Tulczyjew, M Marcinkiewicz, J Nalepa IEEE Access 8, 42384-42403, 2020 | 64 | 2020 |
| Temperature-driven single-valley Dirac fermions in HgTe quantum wells M Marcinkiewicz, S Ruffenach, SS Krishtopenko, AM Kadykov, C Consejo, ... Physical Review B 96 (3), 035405, 2017 | 59 | 2017 |
| Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors J Nalepa, PR Lorenzo, M Marcinkiewicz, B Bobek-Billewicz, ... Artificial intelligence in medicine 102, 101769, 2020 | 55 | 2020 |
| Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation J Nalepa, M Antoniak, M Myller, PR Lorenzo, M Marcinkiewicz Microprocessors and Microsystems 73, 102994, 2020 | 48 | 2020 |
| Temperature-dependent terahertz spectroscopy of inverted-band three-layer InAs/GaSb/InAs quantum well SS Krishtopenko, S Ruffenach, F Gonzalez-Posada, G Boissier, ... Physical Review B 97 (24), 245419, 2018 | 36 | 2018 |
| Temperature-dependent magnetospectroscopy of HgTe quantum wells AV Ikonnikov, SS Krishtopenko, O Drachenko, M Goiran, MS Zholudev, ... Physical Review B 94 (15), 155421, 2016 | 35 | 2016 |
| Data augmentation via image registration J Nalepa, G Mrukwa, S Piechaczek, PR Lorenzo, M Marcinkiewicz, ... 2019 IEEE International Conference on Image Processing (ICIP), 4250-4254, 2019 | 32 | 2019 |
| Segmenting brain tumors from MRI using cascaded multi-modal U-Nets M Marcinkiewicz, J Nalepa, PR Lorenzo, W Dudzik, G Mrukwa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 32 | 2019 |
| Band selection from hyperspectral images using attention-based convolutional neural networks PR Lorenzo, L Tulczyjew, M Marcinkiewicz, J Nalepa arXiv preprint arXiv:1811.02667, 2018 | 22 | 2018 |
| Terahertz detection of magnetic field-driven topological phase transition in HgTe-based transistors AM Kadykov, F Teppe, C Consejo, L Viti, MS Vitiello, SS Krishtopenko, ... Applied Physics Letters 107 (15), 2015 | 18 | 2015 |
| Terahertz imaging of Landau levels in HgTe-based topological insulators AM Kadykov, J Torres, SS Krishtopenko, C Consejo, S Ruffenach, ... Applied Physics Letters 108 (26), 2016 | 17 | 2016 |
| Automatic brain tumor segmentation using a two-stage multi-modal fcnn M Marcinkiewicz, J Nalepa, PR Lorenzo, W Dudzik, G Mrukwa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 15 | 2018 |
| Hyperspectral band selection using attention-based convolutional neural networks P Ribalta Lorenzo, L Tulczyjew, M Marcinkiewicz, J Nalepa IEEE Access 8, 42384-42403, 2020 | 13 | 2020 |
| Multi-modal U-Nets with boundary loss and pre-training for brain tumor segmentation P Ribalta Lorenzo, M Marcinkiewicz, J Nalepa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 11 | 2020 |
| Non-trivial Berry phase in the Cd3As2 3D Dirac semimetal W Desrat, C Consejo, F Teppe, S Contreras, M Marcinkiewicz, W Knap, ... Journal of Physics: Conference Series 647 (1), 012064, 2015 | 10 | 2015 |
| Magnetoabsorption of Dirac Fermions in InAs/GaSb/InAs “Three-Layer” Gapless Quantum Wells S Ruffenach, SS Krishtopenko, LS Bovkun, AV Ikonnikov, ... JETP Letters 106, 727-732, 2017 | 8 | 2017 |
Frédéric TeppeDirector of research - CNRS - Laboratoire Charles CoulombVerified email at umontpellier.fr
