Julia Rackerseder

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All published works

Action	Title	Year	Authors
+ PDF Chat	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2023	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li
+ PDF Chat	PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection	2022	Matteo Ronchetti Julia Rackerseder Maria Tirindelli Mehrdad Salehi Nassir Navab Wolfgang Wein Oliver Zettinig
+	PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection	2022	Matteo Ronchetti Julia Rackerseder Maria Tirindelli Mehrdad Salehi Nassir Navab Wolfgang Wein Oliver Zettinig
+	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2021	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li
+	Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound.	2019	Beatrice Demiray Julia Rackerseder Stevica Bozhinoski Nassir Navab
+	Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations	2019	Julia Rackerseder Rüdiger Göbl Nassir Navab Christoph Hennersperger
+	Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound	2019	Beatrice Demiray Julia Rackerseder Stevica Bozhinoski Nassir Navab
+ PDF Chat	Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration	2018	Julia Rackerseder Maximilian Baust Rüdiger Göbl Nassir Navab Christoph Hennersperger
+	Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration	2018	Julia Rackerseder Maximilian Baust Rüdiger Göbl Nassir Navab Christoph Hennersperger

Common Coauthors

Coauthor	Papers Together
Nassir Navab	9
Beatrice Demiray	4
Rüdiger Göbl	3
Christoph Hennersperger	3
Maximilian Baust	2
Suprosanna Shit	2
Jan S. Kirschke	2
Florian Kofler	2
Richard McKinley	2
Wolfgang Wein	2
Ivan Ezhov	2
Benedikt Wiestler	2
Spyridon Bakas	2
Marie Piraud	2
Stevica Bozhinoski	2
Maximilian Koerner	2
Fabian Isensee	2
Oliver Zettinig	2
Mehrdad Salehi	2
Johannes C. Paetzold	2
Claus Zimmer	2
Fabian Balsiger	2
Hongwei Li	2
Maria Tirindelli	2
Bjoern Menze	2
Christoph Berger	1
Christoph Berger	1
Matteo Ronchetti	1
Matteo Ronchetti	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	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	2
+ PDF Chat	Deep neural networks for anatomical brain segmentation	2015	Alexandre de Brébisson Giovanni Montana	1
+ PDF Chat	Fitting Linear Mixed-Effects Models Using<b>lme4</b>	2015	Douglas M. Bates Martin Mächler Benjamin M. Bolker Steve Walker	1
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	1
+	<b>FactoMineR</b>: An<i>R</i>Package for Multivariate Analysis	2008	Sébastien Lê Julie Josse François Husson	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound	2017	Fausto Milletarì Seyed‐Ahmad Ahmadi Christine Kroll Annika Plate Verena Rozanski Juliana Maiostre Johannes Levin Olaf Dietrich Birgit Ertl‐Wagner Kai Bötzel	1
+ PDF Chat	The Importance of Skip Connections in Biomedical Image Segmentation	2016	Michal Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury Chris Pal	1
+	Tversky loss function for image segmentation using 3D fully convolutional deep networks	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+ 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	1
+	Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy	2018	Stanislav Nikolov Sam Blackwell Alexei Zverovitch R. Mendes Michelle Livne Jeffrey De Fauw Yojan Patel Clemens Meyer Harry Askham Bernardino Romera‐Paredes	1
+	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	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	Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features	2020	Xue Feng Nicholas J. Tustison Sohil H. Patel Craig H. Meyer	1
+ PDF Chat	Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection	2018	Seyed Raein Hashemi Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Sanjay P. Prabhu Simon K. Warfield Ali Gholipour	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	1
+ PDF Chat	Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks	2019	Davood Karimi Septimiu E. Salcudean	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration	2018	Julia Rackerseder Maximilian Baust Rüdiger Göbl Nassir Navab Christoph Hennersperger	1
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	1
+ PDF Chat	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+	pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis	2020	Alain Jungo Olivier Scheidegger Mauricio Reyes Fabian Balsiger	1
+	nnU-Net for Brain Tumor Segmentation	2020	Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Kickingereder Klaus H. Maier‐Hein	1
+ PDF Chat	Automatic Segmentation of MR Brain Images With a Convolutional Neural Network	2016	Pim Moeskops Max A. Viergever Adriënne M. Mendrik Linda S. de Vries Manon J.N.L. Benders Ivana Išgum	1
+ PDF Chat	VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	2021	Anjany Sekuboyina Malek El Husseini Amirhossein Bayat Maximilian T. Löffler Hans Liebl Hongwei Li Giles Tetteh Jan Kukačka Christian Payer Darko Štern	1
+ 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	1
+ PDF Chat	nnU-Net for Brain Tumor Segmentation	2021	Fabian Isensee Paul F. Jäger Peter M. Full Philipp Kickingereder Klaus H. Maier‐Hein	1
+	Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation	2020	David Powers	1
+	Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound	2019	Beatrice Demiray Julia Rackerseder Stevica Bozhinoski Nassir Navab	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	1
+ PDF Chat	blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation	2023	Florian Kofler Suprosanna Shit Ivan Ezhov Lucas Fidon Izabela Horvath Rami Al-Maskari Hongwei Li Harsharan S. Bhatia Timo Loehr Marie Piraud	1
+ PDF Chat	Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings	2023	Florian Kofler Ivan Ezhov Lucas Fidon Izabela Horvath Ezequiel de la Rosa John LaMaster Hongwei Li Tom Finck Suprosanna Shit Johannes C. Paetzold	1
+ PDF Chat	Approaching Peak Ground Truth	2023	Florian Kofler Johannes Wahle Ivan Ezhov Sophia J. Wagner Rami Al-Maskari Emilia Gryska Mihail Ivilinov Todorov Christina Bukas Felix Meissen Tingying Peng	1
+	On the generalized distance in statistics	1936	P. C. Mahalanobis	1
+	On the theory of contingency and its relation to association and normal correlation	2010	Karl Pearson	1