Bianca S. Gerendas

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 24

Top Topics

Automated Segmentation

Optical Coherence Tomography

Top Venues

Medical Imaging: Image Processing

IEEE Trans. Medical Imaging

Publications

Simon Schürer-Waldheim, Philipp Seeböck, Hrvoje Bogunovic, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. Medical Imaging: Computer-Aided Diagnosis (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. CoRR (2021)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38 (8) (2019)
Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI (2019)
Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38 (4) (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. CoRR (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI (2019)
Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. OMIA@MICCAI (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
Mustafa Arikan, Amir Sadeghipour, Bianca S. Gerendas, Reinhard Told, Ursula Schmidt-Erfurth
Deep Learning Based Multi-modal Registration for Retinal Imaging. iMIMIC/ML-CDS@MICCAI (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI (2019)
Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR (2018)
Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR (2018)
Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Georg Langs
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 36 (9) (2017)
Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth
Improve synthetic retinal OCT images with present of pathologies and textural information. Medical Imaging: Image Processing (2016)
Ehsan Shahrian Varnousfaderani, Jing Wu, Wolf-Dieter Vogl, Ana-Maria Philip, Alessio Montuoro, Roland Leitner, Christian Simader, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation. Comput. Methods Programs Biomed. 130 (2016)
Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease. Int. J. Biomed. Imaging 2016 (2016)
Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs
Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR (2016)
Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth
Geodesic denoising for optical coherence tomography images. Medical Imaging: Image Processing (2016)
Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion. Medical Imaging: Image Processing (2015)
Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Christian Simader, Ana-Maria Glodan, Dominika Podkowinski, Ursula Schmidt-Erfurth, Georg Langs
Spatio-Temporal Signatures to Predict Retinal Disease Recurrence. IPMI (2015)
Jing Wu, Bianca S. Gerendas, Sebastian M. Waldstein, Christian Simader, Ursula Schmidt-Erfurth
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices. Medical Imaging: Image Processing (2014)
Alessio Montuoro, Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth
Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry. MICCAI (2) (2014)