Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. - Oscar Alfonso Jiménez del Toro; Manfredo Atzori; Sebastian Otálora; Mats Andersson; Kristian Eurén; Martin Hedlund; Peter Rönnquist; Henning Müller (Digital Pathology, 2017)

Determining the scale of image patches using a deep learning approach. - Sebastian Otálora; Oscar J. Perdomo; Manfredo Atzori; Mats Andersson; Ludwig Jacobsson; Martin Hedlund; Henning Müller (ISBI, 2018)

Tumor proliferation assessment of whole slide images. - Mikaël Rousson; Martin Hedlund; Mats Andersson; Ludwig Jacobsson; Gunnar Läthén; Björn Norell; Oscar Alfonso Jiménez del Toro; Henning Müller; Manfredo Atzori (Digital Pathology, 2018)

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (CoRR, 2018)

Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. - Nikolay Burlutskiy; Nicolas Pinchaud; Feng Gu; Daniel Hägg; Mats Andersson; Lars Björk; Kristian Eurén; Cristina Svensson; Lena Kajland Wilén; Martin Hedlund (MIDL, 2019)

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (Medical Image Anal., 2019)

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. - Péter Bándi; Oscar Geessink; Quirine Manson; Marcory Van Dijk; Maschenka Balkenhol; Meyke Hermsen; Babak Ehteshami Bejnordi; Byungjae Lee; Kyunghyun Paeng; Aoxiao Zhong; Quanzheng Li; Farhad Ghazvinian Zanjani; et al. (IEEE Trans. Medical Imaging, 2019)

Creating a Post-sedentary Work Context for Software Engineering. - Martin Hedlund; Cristian Bogdan; Gerrit Meixner (INTERACT (Workshops), 2021)

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. - Caroline Bivik Stadler; Martin Lindvall; Claes Lundström; Anna Bodén; Karin Lindman; Jeronimo Rose; Darren Treanor; Johan Blomma; Karin Stacke; Nicolas Pinchaud; Martin Hedlund; Filip Landgren; et al. (J. Digit. Imaging, 2021)

BlocklyVR: Exploring Block-based Programming in Virtual Reality. - Martin Hedlund; Adam Jonsson; Cristian Bogdan; Gerrit Meixner; Elin Ekblom-Bak; Andrii Matviienko (MUM, 2023)

Jogging-in-Place: Exploring Body-Steering Methods for Jogging in Virtual Environments. - Martin Hedlund; Anders Lundström; Cristian Bogdan; Andrii Matviienko (MUM, 2023)

Physical Locomotion for Virtual Environments. - Martin Hedlund (CHI Extended Abstracts, 2024)

Rowing Beyond: Investigating Steering Methods for Rowing-based Locomotion in Virtual Environments. - Martin Hedlund; Cristian Bogdan; Gerrit Meixner; Andrii Matviienko (CHI, 2024)

Rowing Beyond: A Demonstration of Steering Methods for Rowing-based Locomotion in Virtual Environments. - Martin Hedlund; Cristian Bogdan; Gerrit Meixner; Andrii Matviienko (CHI Extended Abstracts, 2024)

A Novel Approach for Software 3D-Debugging in Virtual Reality. - Sven-Tizian Mauer; Laura Ködel; Lukas Ertl; David Flaig; Martin Hedlund; Gerrit Meixner (HCI (25), 2024)

KnuckleBoard: Knuckle-based Input in Augmented Reality while Sitting, Standing, and Walking. - Katerina Koleva; Martin Hedlund; Gunilla Berndtsson; Martin Ek; Héctor Caltenco; Andrii Matviienko (CHI Extended Abstracts, 2025)