Image Sensors. - Johannes Solhusvik; Hirofumi Sumi (ISSCC, 2007)

Trusting our Lives to Sensors. - Johannes Solhusvik; Tim Denison (ISSCC, 2008)

High-speed image sensor technologies. - Johannes Solhusvik; Jung-Chak Ahn; Jan T. Bosiers; Boyd Fowler; Makoto Ikeda; Shoji Kawahito; Jerry Lin; Dan McGrath; Katsu Nakamura; Jun Ohta; Ramchan Woo (ISSCC, 2010)

Image sensors for 3D capture. - Johannes Solhusvik; Albert Theuwissen; Sam Kavusi; Tetsuo Nomoto; Iliana Chen (ISSCC, 2011)

Computational imaging. - Makoto Ikeda; Albert Theuwissen; Johannes Solhusvik; Jan T. Bosiers (ISSCC, 2012)

F4: Scientific imaging. - Makoto Ikeda; Ehsan Afshari; Yusuke Oike; David Ruffieux; Johannes Solhusvik; Albert Theuwissen (ISSCC, 2013)

F2: 3D stacking technologies for image sensors and memories. - Yusuke Oike; Makoto Ikeda; Albert Theuwissen; Johannes Solhusvik; Jonathan Chang; Tadahiro Kuroda (ISSCC, 2014)

Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? - Hemin Ali Qadir; Younghak Shin; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (ISMICT, 2019)

A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation. - Hemin Ali Qadir; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (IEEE Access, 2019)

A 1.17-Megapixel CMOS Image Sensor With 1.5 A/D Conversions per Digital CDS Pixel Readout and Four In-Pixel Gain Steps. - Øyvind Janbu; Robert Johansson; Tore Martinussen; Johannes Solhusvik (IEEE J. Solid State Circuits, 2019)

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. - Hemin Ali Qadir; Ilangko Balasingham; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Younghak Shin (IEEE J. Biomed. Health Informatics, 2020)

Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. - Hemin Ali Qadir; Younghak Shin; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (Medical Image Anal., 2021)