Publications by authors named "Peter Bandi"

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Continual learning strategies for cancer-independent detection of lymph node metastases.
Péter Bándi, Maschenka Balkenhol, Marcory van Dijk, Michel Kok, Bram van Ginneken

Med Image Anal· April 2023

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Human scattered tubular cells represent a heterogeneous population of glycolytic dedifferentiated proximal tubule cells.
Jennifer Eymael, Martijn van den Broek, Laura Miesen, Valerie Villacorta Monge, Bartholomeus T van den Berge

J Pathol· February 2023

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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.
Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė, Anna Bodén, Péter Bándi

Cancers (Basel)· November 2022

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Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies.
Meyke Hermsen, Francesco Ciompi, Adeyemi Adefidipe, Aleksandar Denic, Amélie Dendooven

Am J Pathol· October 2022

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Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis.
Laura Miesen, Péter Bándi, Brigith Willemsen, Fieke Mooren, Thiago Strieder

Dis Model Mech· March 2022

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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst

Med Image Anal· December 2019

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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.
Péter Bándi, Maschenka Balkenhol, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

PeerJ· December 2019

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From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
Peter Bandi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol

IEEE Trans Med Imaging· February 2019

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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz

Sci Rep· January 2019

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1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.
Geert Litjens, Peter Bandi, Babak Ehteshami Bejnordi, Oscar Geessink, Maschenka Balkenhol

Gigascience· June 2018

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Automated body-lung-air material map segmentation from pre-clinical MRI images for PET attenuation correction in Tera-Tomo 3D PET reconstruction engine of nanoScan PET/MRI system.
Peter Bandi, Gabor Jakab, Norbert Zsoter, Domokos Mathe, Gabor Nemeth

EJNMMI Phys· July 2014

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PET-CT based automated lung nodule detection.
Norbert Zsoter, Peter Bandi, Gergely Szabo, Zoltan Toth, Ralph A Bundschuh

Annu Int Conf IEEE Eng Med Biol Soc· August 2013

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Automated material map generation from MRI scout pairs for preclinical PET attenuation correction.
Peter Bandi, Norbert Zsoter, Peter Koncz, Magor Babos, Sandor Hobor

Annu Int Conf IEEE Eng Med Biol Soc· July 2013

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New workflows and algorithms of bone scintigraphy based on SPECT-CT.
Peter Bandi, Norbert Zsoter, Andras Wirth, Ulf Luetzen, Thorsten Derlin

Annu Int Conf IEEE Eng Med Biol Soc· July 2013

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Hextuple registration of interim and follow-up PET-CT images for the accurate tracking of patient recovery after therapy.
Norbert Zsoter, Peter Bandi, Ildiko Garai, Laszlo Papp

Annu Int Conf IEEE Eng Med Biol Soc· June 2012

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Automated patient couch removal algorithm on CT images.
Peter Bandi, Norbert Zsoter, Laszlo Seres, Zoltan Toth, Laszlo Papp

Annu Int Conf IEEE Eng Med Biol Soc· May 2012

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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.
Laszlo Papp, Norbert Zsoter, Peter Bandi, Sandor Barna, Ulf Luetzen

Annu Int Conf IEEE Eng Med Biol Soc· May 2012

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