Philipp Kickingereder

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All published works
Action Title Year Authors
+ PDF Chat Efficient MedSAMs: Segment Anything in Medical Images on Laptop 2024 Jun Ma
Feifei Li
Sumin Kim
Reza Asakereh
Bac Le
Dang-Khoa Nguyen-Vu
Alexander Pfefferle
Mu-Xin Wei
Ruochen Gao
Donghang Lyu
+ Supplementary figure 2 from Incorporating Supramaximal Resection into Survival Stratification of IDH-wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis 2024 Yae Won Park
Kyu Sung Choi
Martha Foltyn‐Dumitru
Gianluca Brugnara
Rouzbeh Banan
Sooyon Kim
Kyunghwa Han
Ji Eun Park
Tobias Keßler
Martin Bendszus
+ PDF Chat Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting 2024 Maximilian Rokuss
Yannick Kirchhoff
Saikat Roy
Bálint Kovàcs
Constantin Ulrich
Tassilo Wald
Maximilian Zenk
Stefan Denner
Fabian Isensee
Philipp Kickingereder
+ The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. 2024 Ahmed W. Moawad
Anastasia Janas
Ujjwal Baid
Divya Ramakrishnan
Rachit Saluja
Nader Ashraf
Leon Jekel
Raisa Amiruddin
Maruf Adewole
Jake Albrecht
+ PDF Chat Enhancing predictive imaging biomarker discovery through treatment effect analysis 2024 Shuhan Xiao
Lukas Klein
Jens Petersen
Philipp Kickingereder
Paul F. Jaeger
Klaus H. Maier‐Hein
+ PDF Chat The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI 2024 Maria Correia de Verdier
Rachit Saluja
L. G. Gagnon
Dominic LaBella
Ujjwall Baid
Nourel Hoda Tahon
Martha Foltyn‐Dumitru
Jikai Zhang
Maram Alafif
Saif Baig
+ PDF Chat Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures 2024 Yannick Kirchhoff
Maximilian Rokuss
Saikat Roy
Bálint Kovàcs
Constantin Ulrich
Tassilo Wald
Maximilian Zenk
Philipp Kickingereder
Jens Kleesiek
Fabian Isensee
+ Supplemental Material (for publication) File #1 from Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response 2023 Philipp Kickingereder
Michael Götz
John Muschelli
Antje Wick
Ulf Neuberger
Russell T. Shinohara
Martin Sill
Martha Nowosielski
Heinz‐Peter Schlemmer
Alexander Radbruch
+ Supplemental Material (for publication) File #1 from Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response 2023 Philipp Kickingereder
Michael Götz
John Muschelli
Antje Wick
Ulf Neuberger
Russell T. Shinohara
Martin Sill
Martha Nowosielski
Heinz‐Peter Schlemmer
Alexander Radbruch
+ PDF Chat Federated learning enables big data for rare cancer boundary detection 2022 Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah Sheller
Shih‐Han Wang
G. Anthony Reina
Patrick Foley
А. Д. Груздев
Deepthi Karkada
Christos Davatzikos
+ Federated Learning Enables Big Data for Rare Cancer Boundary Detection 2022 Sarthak Pati
Ujjwal Baid
Brandon L. Edwards
Micah Sheller
Shih‐Han Wang
G. Anthony Reina
Patrick Foley
А. Д. Груздев
Deepthi Karkada
Christos Davatzikos
+ Continuous-Time Deep Glioma Growth Models 2021 Jens Petersen
Fabian Isensee
Gregor Köhler
Paul F. Jäger
David Zimmerer
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
+ PDF Chat nnU-Net for Brain Tumor Segmentation 2021 Fabian Isensee
Paul F. Jäger
Peter M. Full
Philipp Kickingereder
Klaus H. Maier‐Hein
+ PDF Chat Continuous-Time Deep Glioma Growth Models 2021 Jens Petersen
Fabian Isensee
Gregor Köhler
Paul F. Jäger
David Zimmerer
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
+ Continuous-Time Deep Glioma Growth Models 2021 Jens Petersen
Fabian Isensee
Gregor Köhler
Paul F. Jäger
David Zimmerer
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
+ nnU-Net for Brain Tumor Segmentation 2020 Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Kickingereder
Klaus H. Maier‐Hein
+ nnU-Net for Brain Tumor Segmentation 2020 Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Kickingereder
Klaus H. Maier‐Hein
+ PDF Chat Automated brain extraction of multisequence MRI using artificial neural networks 2019 Fabian Isensee
Marianne Schell
Irada Pflueger
Gianluca Brugnara
David Bonekamp
Ulf Neuberger
Antje Wick
Heinz‐Peter Schlemmer
Sabine Heiland
Wolfgang Wick
+ Deep Probabilistic Modeling of Glioma Growth 2019 Jens Petersen
Paul F. Jäger
Fabian Isensee
Simon Kohl
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
Philipp Kickingereder
+ PDF Chat Deep Probabilistic Modeling of Glioma Growth 2019 Jens Petersen
Paul F. Jäger
Fabian Isensee
Simon Kohl
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
Philipp Kickingereder
+ Deep Probabilistic Modeling of Glioma Growth 2019 Jens Petersen
Paul F. Jäger
Fabian Isensee
Simon Kohl
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
Philipp Kickingereder
+ No New-Net 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
+ Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
+ PDF Chat Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
+ Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
+ No New-Net 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat The Importance of Skip Connections in Biomedical Image Segmentation 2016 Michal Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
Chris Pal
5
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto Milletarì
Nassir Navab
Seyed‐Ahmad Ahmadi
5
+ Instance Normalization: The Missing Ingredient for Fast Stylization 2016 Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
4
+ Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation 2016 Konstantinos Kamnitsas
Christian Ledig
Virginia Newcombe
Joanna Simpson
Andrew D. Kane
David Menon
Daniel Rueckert
Ben Glocker
4
+ PDF Chat Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference 2019 Jana Lipková
Panagiotis Angelikopoulos
Stephen Wu
Esther Alberts
Benedikt Wiestler
Christian Diehl
Christine Preibisch
Thomas Pyka
Stephanie E. Combs
Panagiotis Hadjidoukas
4
+ PDF Chat Image-based modeling of tumor growth in patients with glioma. 2011 Bjoern Menze
Erin Stretton
Ender Konukoğlu
Nicholas Ayache
4
+ PDF Chat Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
4
+ PDF Chat Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model 2016 Matthieu Lê
Hervé Delingette
Jayashree Kalpathy–Cramer
Elizabeth R. Gerstner
Tracy Batchelor
Jan Unkelbach
Nicholas Ayache
4
+ CNN-based Segmentation of Medical Imaging Data. 2017 Baris Kayalibay
Grady W. Jensen
Patrick van der Smagt
3
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
3
+ PDF Chat A Generative Approach for Image-Based Modeling of Tumor Growth 2011 Bjoern Menze
Koen Van Leemput
Antti Honkela
Ender Konukoglu
Marc‐André Weber
Nicholas Ayache
Polina Golland
3
+ Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge 2018 Spyridon Bakas
Mauricio Reyes
Enzo Battistella
Siddhartha Chandra
Huiguang He
Lucas Fidon
Maria Vakalopoulou
Roger Sun
et al.
Éric Deutsch
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ PDF Chat Identity Mappings in Deep Residual Networks 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 Özgün Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
3
+ PDF Chat 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization 2019 Andriy Myronenko
2
+ PDF Chat Brain tumor segmentation with Deep Neural Networks 2016 Mohammad Havaei
Axel Davy
David Warde-Farley
Antoine Biard
Aaron Courville
Yoshua Bengio
Chris Pal
Pierre-Marc Jodoin
Hugo Larochelle
2
+ Tumor invasion margin on the Riemannian space of brain fibers 2011 Parisa Mosayebi
Dana Cobzaş
Albert Murtha
Martin Jägersand
2
+ Glioma follow white matter tracts: a multiscale DTI-based model 2014 Christian Engwer
Thomas Hillen
Markus Knappitsch
Christina Surulescu
2
+ PDF Chat Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations 2017 Carole H. Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
2
+ PDF Chat Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks 2018 Guotai Wang
Wenqi Li
Sébastien Ourselin
Tom Vercauteren
2
+ PDF Chat Convolutional Invasion and Expansion Networks for Tumor Growth Prediction 2017 Ling Zhang
Le Lü
Ronald M. Summers
Electron Kebebew
Jianhua Yao
2
+ Learning models for visual 3D localization with implicit mapping 2018 Dan Rosenbaum
Frederic Besse
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
2
+ Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation 2017 Konstantinos Kamnitsas
Wenjia Bai
Enzo Ferrante
Steven McDonagh
Matthew Sinclair
Nick Pawlowski
Martin Rajchl
Matthew Lee
Bernhard Kainz
Daniel Rueckert
2
+ PDF Chat Neural Parameters Estimation for Brain Tumor Growth Modeling 2019 Ivan Ezhov
Jana Lipková
Suprosanna Shit
Florian Kofler
Nore Collomb
Benjamin Lemasson
Emmanuel Barbier
Bjoern Menze
2
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
2
+ A Probabilistic U-Net for Segmentation of Ambiguous Images 2018 Simon Kohl
Bernardino Romera‐Paredes
Clemens Meyer
Jeffrey De Fauw
Joseph R. Ledsam
Klaus H. Maier‐Hein
S. M. Ali Eslami
Danilo Jimenez Rezende
Olaf Ronneberger
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ PDF Chat Automated brain extraction of multisequence MRI using artificial neural networks 2019 Fabian Isensee
Marianne Schell
Irada Pflueger
Gianluca Brugnara
David Bonekamp
Ulf Neuberger
Antje Wick
Heinz‐Peter Schlemmer
Sabine Heiland
Wolfgang Wick
2
+ PDF Chat Deep Probabilistic Modeling of Glioma Growth 2019 Jens Petersen
Paul F. Jäger
Fabian Isensee
Simon Kohl
Ulf Neuberger
Wolfgang Wick
Jürgen Debus
Sabine Heiland
Martin Bendszus
Philipp Kickingereder
2
+ Linformer: Self-Attention with Linear Complexity 2020 Sinong Wang
Belinda Z. Li
Madian Khabsa
Fang Han
Hao Ma
2
+ PDF Chat Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology 2020 Andreas Mang
Spyridon Bakas
Shashank Subramanian
Christos Davatzikos
George Biros
2
+ Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect 2020 Shashank Subramanian
Klaudius Scheufele
Naveen Himthani
George Biros
2
+ PDF Chat Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations 2018 Reuben R. Shamir
Yuval Duchin
Jinyoung Kim
Guillermo Sapiro
Noam Harel
1
+ Conditional Neural Processes 2018 Marta Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
David Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
1
+ PDF Chat Imperfect Segmentation Labels: How Much Do They Matter? 2018 Nicholas Heller
Joshua Dean
Nikolaos Papanikolopoulos
1
+ Neural Processes 2018 Marta Garnelo
Jonathan Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
1
+ PDF Chat Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study 2018 John R. Zech
Marcus A. Badgeley
Manway Liu
Anthony Costa
J. Titano
Eric K. Oermann
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ DeepNeuro: an open-source deep learning toolbox for neuroimaging 2018 Andrew Beers
James M. Brown
Ken Chang
Katharina Hoebel
Elizabeth R. Gerstner
Bruce R. Rosen
Jayashree Kalpathy‐Cramer
1
+ No New-Net 2018 Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier‐Hein
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ PDF Chat Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation 2019 Micah Sheller
G. Anthony Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
1
+ Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks 2015 Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David Crandall
Dhruv Batra
1
+ PDF Chat Why rankings of biomedical image analysis competitions should be interpreted with care 2018 Lena Maier‐Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
Patrick Scholz
Tal Arbel
Hrvoje Bogunović
Andrew P. Bradley
Aaron Carass
1
+ PDF Chat Evaluating the impact of intensity normalization on MR image synthesis 2019 Jacob C. Reinhold
Blake E. Dewey
Aaron Carass
Jerry L. Prince
1
+ PDF Chat A nonparametric method for automatic correction of intensity nonuniformity in MRI data 1998 John G. Sled
Alex Zijdenbos
Alan C. Evans
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging 2017 Seyed Sadegh Mohseni Salehi
Deniz Erdoğmuş
Ali Gholipour
1
+ 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 Özgün Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
1