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2020 – today
- 2023
[j3]Péter Bándi
, Maschenka Balkenhol, Marcory Van Dijk, Michel Kok, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Anal. 85: 102755 (2023)- 2022
- [i4]Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Domain adaptation strategies for cancer-independent detection of lymph node metastases. CoRR abs/2207.06193 (2022)
2010 – 2019
- 2019
- [j2]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. 58 (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) - [i3]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR abs/1902.06543 (2019) - 2018
- [i2]Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR abs/1808.05883 (2018) - 2017
- [c7]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI 2017: 591-595 - [i1]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR abs/1703.05990 (2017) - 2012
- [c6]Norbert Zsoter, Péter Bándi, Gergely Szabó, Zoltan Toth, Ralph A. Bundschuh, Julia Dinges, Laszlo Papp:
PET-CT based automated lung nodule detection. EMBC 2012: 4974-4977 - [c5]Péter Bándi, Norbert Zsoter, Peter Koncz, Magor Babos, Sandor Hobor, Domokos Máthé, Laszlo Papp:
Automated material map generation from MRI scout pairs for preclinical PET attenuation correction. EMBC 2012: 5351-5354 - [c4]Péter Bándi, Norbert Zsoter, Andras Wirth, Ulf Luetzen, Thorsten Derlin, Laszlo Papp:
New workflows and algorithms of bone scintigraphy based on SPECT-CT. EMBC 2012: 5971-5974 - 2011
- [c3]Norbert Zsoter, Péter Bándi, Ildikó Garai, Laszlo Papp:
Hextuple registration of interim and follow-up PET-CT images for the accurate tracking of patient recovery after therapy. EMBC 2011: 2630-2633 - [c2]Péter Bándi, Norbert Zsoter, Laszlo Seres, Zoltan Toth, Laszlo Papp:
Automated patient couch removal algorithm on CT images. EMBC 2011: 7783-7786 - [c1]Laszlo Papp, Norbert Zsoter, Péter Bándi, Sandor Barna, Ulf Luetzen:
An extended registration framework for the triple registration of IBZM SPECT, DATSCAN SPECT and MRI brain images to support the evaluation of brain dopamine receptor scintigraphies. EMBC 2011: 8025-8028
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