Fethallah Benmansour

发表

Deep learning algorithm predicts diabetic retinopathy progression in individual patients

F. Arcadu, Fethallah Benmansour, A. Maunz, 2019, npj Digital Medicine.

Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

F. Arcadu, Fethallah Benmansour, A. Maunz, 2019, Investigative ophthalmology & visual science.

Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling

P. Fua, F. Fleuret, Germán González, 2016, The Journal of cell biology.

Training Training Images Ground Truth Tracings Tubular Graphs Sample Positives Sample Negatives Extract Features Classifier Detection Tubular Graph Learned Path Model Assign

P. Fua, H. Pfister, Bjoern Andres, 2014 .

Tubular anisotropy for 3D vessels segmentation

Laurent D. Cohen, Fethallah Benmansour, L. Cohen, 2009 .

Using deformable surface registration for vessel segmentation on computed tomography angiography

Laurent D. Cohen, Ron Kimmel, Fethallah Benmansour, 2007 .

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

O. Goksel, Fethallah Benmansour, A. Maunz, 2022, MICCAI.

On the relevance of sparsity for image classification

Vincent Lepetit, Pascal Fua, Germán González, 2014, Comput. Vis. Image Underst..

Molecular Phenotyping Combines Molecular Information, Biological Relevance, and Patient Data to Improve Productivity of Early Drug Discovery.

Fethallah Benmansour, Thomas Singer, Michael Prummer, 2017, Cell chemical biology.

Mechanistic Investigations of Diarrhea Toxicity Induced by Anti-HER2/3 Combination Therapy

A. Schneeweiss, Fethallah Benmansour, C. Adessi, 2018, Molecular Cancer Therapeutics.

Specific immune modulation of experimental colitis drives enteric alpha-synuclein accumulation and triggers age-related Parkinson-like brain pathology.

M. Britschgi, Fethallah Benmansour, P. Brundin, 2020, Free neuropathology.

Experimental colitis drives enteric alpha-synuclein accumulation and Parkinson-like brain pathology

M. Britschgi, Fethallah Benmansour, P. Brundin, 2018, bioRxiv.

Machine learning-powered antibiotics phenotypic drug discovery

Hoa Hue Truong, C. Lerner, Fethallah Benmansour, 2019, Scientific Reports.

Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography

Yalin Zheng, F. Arcadu, Fethallah Benmansour, 2021, Journal of personalized medicine.

Inhibition of EGF Uptake by Nephrotoxic Antisense Drugs In Vitro and Implications for Preclinical Safety Profiling

Fethallah Benmansour, Andreas Maunz, Franz Schuler, 2016, Molecular therapy. Nucleic acids.

Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

F. Arcadu, Fethallah Benmansour, A. Maunz, 2019, NPJ digital medicine.

Reconstructing Loopy Curvilinear Structures Using Integer Programming

Pascal Fua, Hanspeter Pfister, Engin Türetken, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement

Laurent D. Cohen, Fethallah Benmansour, L. Cohen, 2011, International Journal of Computer Vision.

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

Leo Joskowicz, Maria A. Zuluaga, Karl Krissian, 2011, Medical Image Anal..

Numerical approximation of continuous traffic congestion equilibria

Gabriel Peyré, Fethallah Benmansour, Guillaume Carlier, 2009, Networks Heterog. Media.

Fast Object Segmentation by Growing Minimal Paths from a Single Point on 2D or 3D Images

Laurent D. Cohen, Fethallah Benmansour, L. Cohen, 2009, Journal of Mathematical Imaging and Vision.

Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming

Pascal Fua, Hanspeter Pfister, Engin Türetken, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks

Pascal Fua, Engin Türetken, Fethallah Benmansour, 2013 .

Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients

F. Arcadu, Fethallah Benmansour, A. Maunz, 2020, npj Digital Medicine.

Carotid Lumen Segmentation Based on Tubular Anisotropy and Contours Without Edges

Laurent D. Cohen, Fethallah Benmansour, Julien Mille, 2009, The MIDAS Journal.

Derivatives with respect to metrics and applications: subgradient marching algorithm

Gabriel Peyré, Fethallah Benmansour, Guillaume Carlier, 2010, Numerische Mathematik.

Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling

P. Fua, F. Fleuret, Germán González, 2016, The Journal of cell biology.

Machine learning-powered antibiotics phenotypic drug discovery

Fethallah Benmansour, Kenneth Bradley, Andreas Maunz, 2019, Scientific Reports.

Tubular Anisotropy Segmentation

Laurent D. Cohen, Fethallah Benmansour, L. Cohen, 2009, SSVM.

Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

F. Arcadu, Fethallah Benmansour, Z. Haskova, 2019, Investigative ophthalmology & visual science.

Tubular anisotropy for 2D vessel segmentation

Laurent D. Cohen, Fethallah Benmansour, Max W. K. Law, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

From a Single Point to a Surface Patch by Growing Minimal Paths

Laurent D. Cohen, Fethallah Benmansour, L. Cohen, 2008, SSVM.

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux

Pascal Fua, Engin Türetken, Carlos J. Becker, 2013, 2013 IEEE International Conference on Computer Vision.