Berkan Lafci

Senior Machine Learning Research Scientist at Align

       

News

• 1 July 2024
  

  Started my new role as a Senior Machine Learning Research Scientist at Align Technology
  

• 24 February 2024
  

  We released a new package called Mvps Studio for multiview photometric stereo and 3D reconstruction
  

• 15 February 2024
  

  Our new paper that combines optoacoustic and B-mode ultrasound is now online in Optics Letters
  

• 7 November 2023
  

  Our work on full-waveform inversion with resolution proxies is online in IEEE International Ultrasonics Symposium (IUS) Proceedings
  

• 31 October 2023
  

  We organized "Neural Implicit Functions Seminar Day" together with Dr. Anna Susmelj and Prof. Dr. Ender Konukoglu
  

• 28 October 2023
  

  Our paper on signal domain adaptation networks is online in Medical Image Analysis
  

• 4-15 September 2023
  

  We organized EXCITE Summer School 2023 at ETH Zurich and University of Zurich
  

• 24 July 2023
  

  Our new paper on multimodal assessment of non-alcoholic fatty liver disease with TROPUS is published at Theranostics
  

• 20 June 2023
  

  Our paper on multilayer polymer shell perfluoropentane nanodroplet imaging is online in Laser & Photonics Reviews
  

• 10 June 2023
  

  Our paper on full-view LED-based optoacoustic tomography is online in Photoacoustics
  

• 11 May 2023
  

  Our paper on real-time assessment of high-intensity focused ultrasound heating and cavitation is online in Photoacoustics
  

• 2 May 2023
  

  My PhD thesis is online at ETH Zurich Research Collection
  

• 1 May 2023
  

  I am appointed as one of the managing directors of EXCITE
  

• 17 February 2023
  

  Our paper on experimental and synthetic clinical optoacoustic data (OADAT) is accepted for publication in TMLR
  

• 1 February 2023
  

  Started my postdoc at University of Zurich (UZH) under the supervision of Prof. Bjoern Menze
  

• 10 January 2023
  

  Successfully defended my PhD thesis "Development of Hybrid Optoacoustic and Ultrasound Imaging Systems" at ETH Zurich
  

• 18 August 2022
  

  Our paper on optoacoustic and magnetic resonance image registration by deep learning is published in Biomedical Optics Express
  

• 17 August 2022
  

  Our new paper on multimodal assessment of non-alcoholic fatty liver disease with TROPUS is online at bioRxiv
  

• 7 July 2022
  

  Presented our paper (oral & poster) on signal domain learning for optoacoustic limited view data in MIDL 2022
  

• 21 June 2022
  

  Our new paper on experimental and synthetic clinical optoacoustic data (OADAT) is online at arXiv
  

• 4 May 2022
  

  Our new paper on expediting image acquisition in reflection ultrasound computed tomography is now online in IEEE TUFFC
  

• 16 March 2022
  

  Presented our work on multi-parametric characterization of fatty liver disease with TROPUS in EMIM 2022
  

• 07 March 2022
  

  We released a new Python package called pyoat for optoacoustic tomography image reconstruction
  

• 4 March 2022
  

  Our new paper on multispectral optoacoustic imaging of lymphatic vessels is now online in Lymphatic Research and Biology
  

• 1 March 2022
  

  Our new paper on signal domain learning for optoacoustic limited view data is accepted for oral presentation in MIDL 2022
  

• 28 February 2022
  

  We released documentation website for pulse-echo ultrasound delay and sum beamforming Python package "pyruct"
  

• 28 February 2022
  

  We released public phantom data for pulse-echo ultrasound delay and sum beamforming Python package "pyruct"
  

• 22 January 2022
  

  Our work on learning-based enhancement of limited-view optoacoustic tomography images was presented at Photonics West 2022
  

• 26 October 2021
  

  We released a new Python package called pyruct for pulse-echo ultrasound delay and sum beamforming
  

• 11-16 September 2021
  

  Presented our work on Reflection Ultrasound Computed Tomography with Sparse Acquisition Sequences at IUS 2021
  

• 07 September 2021
  

  Our new paper on registration of optoacoustic tomography and magnetic resonance images using deep learning is online at arXiv
  

• 24-27 August 2021
  

  Our work on brain segmentation for small animal neuroimaging was presented at EMIM 2021
  

• 17 June 2021
  

  Our new paper that uses image and signal domain data for limited view artifact removal is now online in Optics Letters
  

• 30 April 2021
  

  Our new paper on comparison of functional optoacoustic and ultrasound imaging is now online in NeuroImage
  

• 9 March 2021
  

  Our new proceeding paper and presentation on TROPUS imaging of mammary tumors are now published in SPIE
  

• 6-11 March 2021
  

  Presented our results on TROPUS imaging of mammary tumors at Photonics West 2021, San Francisco, California, US
  

• 1 March 2021
  

  Our new paper that uses deep learning for OPUS image segmentation is now published in IEEE TUFFC
  

• 11-16 January 2021
  

  Attended Mediterranean Machine Learning (M2L) School, Virtual Italy
  

• 1 December 2020
  

  Our new paper that uses three modalities for breast tumor assessment is now published in Neoplasia
  

• 1-9 July 2020
  

  Attended Eastern European Machine Learning (EMML) Summer School, Virtual Krakow Poland
  

• 1 July 2020
  

  We started an academical collaboration project with Swiss Data Science Center to improve optoacoustic imaging with deep learning
  

• 5 Feb 2020
  

  Gave a talk about segmentation of optoacoustic images using deep learning models at Photonics West 2020, San Francisco, California, US
  

• 4 Nov 2019
  

  Attended 1. Annual Meeting of International Photoacoustic Standardisation Consortium, London, UK
  

• 27-28 June 2019
  

  Attended "Series of Lectures on Waves and Imaging", Zurich, Switzerland
  

• 1 Mar 2019
  

  Started my PhD at ETH Zurich under the supervision of Prof. Daniel Razansky