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2011.07221
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Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
IEEE Transactions on Medical Imaging (TMI), 2020
14 November 2020
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
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Papers citing
"Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty"
26 / 26 papers shown
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
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PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
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31 Mar 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
Pattern Recognition (Pattern Recogn.), 2023
Soufiane Belharbi
Shakeeb Murtaza
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28 Jan 2025
Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
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Nitish Mehta
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SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
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352
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25 Sep 2024
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
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M. Pedersoli
Aydin Sarraf
Eric Granger
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08 Jul 2024
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
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M. Pedersoli
A. L. Koerich
Simon L Bacon
Eric Granger
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01 Feb 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
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S. Ruan
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Additive Class Distinction Maps using Branched-GANs
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Jonathan Brokman
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A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
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UQCV
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16 Feb 2023
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Ziyuan Zhao
Fangcheng Zhou
Kaixin Xu
Zeng Zeng
Cuntai Guan
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05 Dec 2022
Challenging mitosis detection algorithms: Global labels allow centroid localization
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Umay Kiraz
Julio Silva-Rodríguez
Sandra Morales
Emiel A. M. Janssen
Valery Naranjo
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
295
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05 Oct 2022
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
WSOL
427
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30 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Physics in Medicine and Biology (PMB), 2022
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
263
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18 Aug 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis
IEEE journal of biomedical and health informatics (IEEE JBHI), 2022
V. SukeshAdiga
Jose Dolz
H. Lombaert
222
1
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18 Jun 2022
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
139
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12 May 2022
Negative Evidence Matters in Interpretable Histology Image Classification
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M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
465
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07 Jan 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
287
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F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
Soufiane Belharbi
Aydin Sarraf
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
WSOL
381
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15 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
253
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26 Aug 2021
Bladder segmentation based on deep learning approaches: current limitations and lessons
M. Bandyk
D. Gopireddy
C. Lall
K. Balaji
Jose Dolz
176
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16 Jan 2021
Teach me to segment with mixed supervision: Confident students become masters
Information Processing in Medical Imaging (IPMI), 2020
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
285
28
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15 Dec 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
486
87
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17 Mar 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Machine Learning for Biomedical Imaging (MLBI), 2019
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
517
76
0
08 Sep 2019
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