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A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.

J. Bannister, M. Wilms, J. Aponte, D. Katz, O. Klein, F. Bernier, R. Spritz, B. Hallgrímsson, and N. Forkert. IEEE J. Biomed. Health Informatics, 26 (7): 3229-3239 (2022)

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Nils Daniel Forkert

Nils D Steiner

Lothar Forkert

Hermann Forkert

Meinhard Forkert

Other publications of authors with the same name

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images.J. Bannister, S. Crites, J. Aponte, D. Katz, M. Wilms, O. Klein, F. Bernier, R. Spritz, B. Hallgrímsson, and N. Forkert. Sensors, 20 (11): 3171 (2020)DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.G. Tetteh, V. Efremov, N. Forkert, M. Schneider, J. Kirschke, B. Weber, C. Zimmer, M. Piraud, and B. Menze. CoRR, (2018)Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference.V. Vigneshwaran, M. Wilms, M. Camacho, R. Souza, and N. Forkert. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1304-1317. PMLR, (2023)Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets.B. Besler, A. Michalski, M. Kuczynski, A. Abid, N. Forkert, and S. Boyd. Medical Image Anal., (2021)Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model.M. Wilms, P. Mouches, J. Bannister, S. Langner, and N. Forkert. MAD@MICCAI, volume 13823 of Lecture Notes in Computer Science, page 95-107. Springer, (2022)A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis.E. Stanley, M. Wilms, and N. Forkert. MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 489-499. Springer, (2023)A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data.M. Wilms, J. Ehrhardt, and N. Forkert. MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 765-775. Springer, (2020)Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system.J. Moore, M. Wilms, A. Gutierrez, Z. Ismail, K. Fakhar, F. Hadaeghi, C. Hilgetag, and N. Forkert. Frontiers Comput. Neurosci., (February 2023)Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks.A. Tuladhar, S. Schimert, D. Rajashekar, H. Kniep, J. Fiehler, and N. Forkert. IEEE Access, (2020)Towards objective and systematic evaluation of bias in medical imaging AI.E. Stanley, R. Souza, A. Winder, V. Gulve, K. Amador, M. Wilms, and N. Forkert. CoRR, (2023)

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Disambiguation of "Forkert, Nils D."

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A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.

Please choose a person to relate this publication to

Nils Daniel Forkert

Nils D Steiner

Lothar Forkert

Hermann Forkert

Meinhard Forkert

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Forkert, Nils D."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.

Please choose a person to relate this publication to

Nils Daniel Forkert

Nils D Steiner

Lothar Forkert

Hermann Forkert

Meinhard Forkert

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
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Chicago
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A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.