• Application of machine learning in tissue characterization 

      Kvam, Johannes (Doctoral theses at NTNU;2019:119, Doctoral thesis, 2019)
      Bruk av maskinlæring i karakterisering av vev Karakterisering av vev handler om å skille ulike vevstyper basert på en eller annen egenskap som vevet innehar. Innen medisin har ofte sykt og friskt vev ulike fysiske egenskaper. ...
    • Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks 

      Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene (Peer reviewed; Journal article, 2022)
      For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel ...
    • SYNTHETIC DATA FOR DNN-BASED DOA ESTIMATION OF INDOOR SPEECH 

      Gelderblom, Femke B.; Kvam, Johannes; Liu, Yi; Myrvoll, Tor Andre (Chapter, 2021)
      This paper investigates the use of different room impulse response (RIR) simulation methods for synthesizing training data for deep neural network-based direction of arrival (DOA) estimation of speech in reverberant rooms. ...