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Number of documents

13

Khuram FARAZ


Journal articles2 documents

  • Ewan Evain, Faraz Khuram, Thomas Grenier, Damien Garcia, Mathieu de Craene, et al.. A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2020, 67 (12), pp.2565-2573. ⟨10.1109/TUFFC.2020.2976809⟩. ⟨hal-03027193⟩
  • Angeline Nemeth, Berenice Segrestin, Benjamin Leporq, Kévin Seyssel, Khuram Faraz, et al.. 3D Chemical Shift-Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers. Journal of Magnetic Resonance Imaging, Wiley-Blackwell, 2019, 49 (6), pp.1587-1599. ⟨10.1002/jmri.26532⟩. ⟨hal-01917470⟩

Conference papers10 documents

  • T Epicier, K Faraz, T Grenier, C Ducottet. Multiple Object Tracking of Supported Nanoparticles during in situ Environmental TEM Studies of Nanocatalysts. Microscience Microscopy Congress (mmc) 2021, Royal Microscopy Society (RMS, UK), Jul 2021, Manchester (on line), United Kingdom. ⟨hal-03271194⟩
  • Khuram Faraz, Thomas Grenier, Christophe Ducottet, Thierry Epicier. A machine Learning pipeline to track dynamics of a population of nanoparticles during in situ Environmental Transmission Electron Microscopy in gases. M&M2021, Microscopy Society of America (MSA), Aug 2021, Pittsburgh (virtual), United States. ⟨hal-03271239⟩
  • Yunyun Sun, Khuram Faraz, Thomas Grenier, Patrick Clarysse, Damien Garcia, et al.. A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging. 2020 IEEE International Ultrasonics Symposium (IUS), Sep 2020, Las Vegas, United States. pp.1-4, ⟨10.1109/IUS46767.2020.9251845⟩. ⟨hal-03149351⟩
  • Angeline Nemeth, Berenice Segrestin, Benjamin Leporq, Kévin Seyssel, Khuram Faraz, et al.. 3D Chemical Shift-Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers.. 27th Annual meeting of the ISMRM, May 2019, Montréal, Canada. ⟨hal-02081436⟩
  • Marine Amouroux, Sébastien Le Cunff, Khuram Faraz, Christian Daul, Walter Blondel. Definition of image quality criteria for telemedicine-based consultations. 2nd International school for young scientists “Physics, Engineering and Technologies for Biomedicine”, PhysBio - MEPhI (National Research Nuclear University), Oct 2017, Moscow, Russia. ⟨hal-01637889⟩
  • Khuram Faraz, Walter Blondel, Christian Daul. Global adjustment for creating extended panoramic images in video-dermoscopy . European Conference on Biomedical Optics, ECBO 2017, Jun 2017, Munich, Germany. paper 104110O. ⟨hal-01660183⟩
  • Marine Amouroux, Sébastien Le Cunff, Khuram Faraz, Christian Daul, Walter Blondel. Consumer vs. an innovative devices' ability to generate images for teledermatology. 2nd International Symposium on Physics, Engineering and Technologies for Bio-Medicine, PETBM, Oct 2017, Moscow, Russia. ⟨hal-01637883⟩
  • Khuram Faraz, Walter Blondel, Marine Amouroux, Christian Daul. Towards skin image mosaicing. 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016, Dec 2016, Oulu, Finland. ⟨hal-01416839⟩
  • Angéline Nemeth, Hélène Ratiney, Bérénice Ségrestin, Kévin Seyssel, Benjamin Leporq, et al.. Quantification volumique des graisses abdominales sous-cutanées et viscérales par résonance magnétique nucléaire du proton à 3T : application à un protocole de surnutrition. 1er meeting annuel du réseau de jeunes chercheurs en imagerie FINYS, Jun 2016, Dourdan, France. ⟨hal-01434740⟩
  • Sharib Ali, Khuram Faraz, Christian Daul, Walter Blondel. Optical flow with structure information for epithelial image mosaicing. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Aug 2015, Milano, Italy. ⟨hal-01184618⟩

Theses1 document