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ORCIDMartin Hedlund
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2020 – today
- 2024
[c11]Martin Hedlund
, Cristian Bogdan, Gerrit Meixner, Andrii Matviienko:
Rowing Beyond: A Demonstration of Steering Methods for Rowing-based Locomotion in Virtual Environments. CHI Extended Abstracts 2024: 413:1-413:6- [c10]Martin Hedlund:
Physical Locomotion for Virtual Environments. CHI Extended Abstracts 2024: 440:1-440:6 - [c9]Martin Hedlund, Cristian Bogdan, Gerrit Meixner, Andrii Matviienko:
Rowing Beyond: Investigating Steering Methods for Rowing-based Locomotion in Virtual Environments. CHI 2024: 631:1-631:17 - [c8]Sven-Tizian Mauer, Laura Ködel, Lukas Ertl, David Flaig, Martin Hedlund, Gerrit Meixner:
A Novel Approach for Software 3D-Debugging in Virtual Reality. HCI (25) 2024: 235-251 - 2023
- [c7]Martin Hedlund, Adam Jonsson, Cristian Bogdan, Gerrit Meixner, Elin Ekblom-Bak, Andrii Matviienko:
BlocklyVR: Exploring Block-based Programming in Virtual Reality. MUM 2023: 251-263 - [c6]Martin Hedlund, Anders Lundström, Cristian Bogdan, Andrii Matviienko:
Jogging-in-Place: Exploring Body-Steering Methods for Jogging in Virtual Environments. MUM 2023: 371-379 - 2021
- [j3]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, Mischa Woisetschläger, Daniel Forsberg:
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. J. Digit. Imaging 34(1): 105-115 (2021) - [c5]Martin Hedlund, Cristian Bogdan, Gerrit Meixner:
Creating a Post-sedentary Work Context for Software Engineering. INTERACT (Workshops) 2021: 123-138
2010 – 2019
- 2019
- [j2]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, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54: 111-121 (2019) - [j1]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, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [c4]Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund:
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. MIDL 2019: 92-108 - [i2]Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund:
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. CoRR abs/1904.06969 (2019) - 2018
- [c3]Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller:
Determining the scale of image patches using a deep learning approach. ISBI 2018: 843-846 - [c2]Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori:
Tumor proliferation assessment of whole slide images. Digital Pathology 2018: 105810Y - [i1]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, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - 2017
- [c1]Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller:
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. Digital Pathology 2017: 101400O
Coauthor Index
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