Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation

3 August 2018

Papers citing "Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation"

28 / 78 papers shown

Title
Common Limitations of Image Processing Metrics: A Picture Story Annika Reinke M. Tizabi Carole H. Sudre Matthias Eisenmann Tim Radsch ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul Jäger Lena Maier-Hein 24 141 0 12 Apr 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 27 32 0 08 Feb 2021
Using uncertainty estimation to reduce false positives in liver lesion detection Ishaan Bhat Hugo J. Kuijf Dovile Juodelyte J. Pluim MedIm 13 8 0 12 Jan 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods H. Zhang I. Oguz 30 14 0 12 Dec 2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty Richard McKinley M. Rebsamen Katrin Daetwyler Raphael Meier Piotr Radojewski Roland Wiest 3DV 26 26 0 11 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 271 0 04 Dec 2020
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 38 72 0 18 Nov 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 25 50 0 13 Nov 2020
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation Han Liu C. Cui Dario J. Englot Benoit M. Dawant 21 2 0 03 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 30 1,046 0 02 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox C. Gros A. Lemay Olivier Vincent Lucas Rouhier Anthime Bucquet Joseph Paul Cohen Julien Cohen-Adad LM&MA MedIm 27 15 0 20 Oct 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 58 627 0 02 Aug 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers Tim Z. Xiao Aidan Gomez Y. Gal UQLM 15 33 0 08 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 16 7 0 21 May 2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems Changhee Han L. Rundo K. Murao T. Nemoto Hideki Nakayama MedIm 30 27 0 12 Jan 2020
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling Yuta Hiasa Y. Otake Masaki Takao Takeshi Ogawa Nobuhiko Sugano Yoshinobu Sato 21 110 0 21 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 30 134 0 07 Jul 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 14 134 0 29 May 2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence Richard McKinley L. Grunder Rik Wepfer F. Aschwanden Tim Fischer ... M. Reyes A. Salmen A. Chan Roland Wiest F. Wagner 17 64 0 05 Apr 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems Ahmed Taha Yi-Ting Chen Teruhisa Misu Abhinav Shrivastava L. Davis 19 17 0 07 Feb 2019
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans J. Orlando Philipp Seeböck Hrvoje Bogunović S. Klimscha C. Grechenig S. Waldstein Bianca S. Gerendas U. Schmidt-Erfurth UQCV 14 56 0 23 Jan 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems Ahmed Taha Yi-Ting Chen Xitong Yang Teruhisa Misu L. Davis UQCV 28 9 0 23 Jan 2019
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 38 111 0 27 Nov 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 67 582 0 19 Jul 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015