A Weakly Supervised and Globally Explainable Learning Framework for
Brain Tumor Segmentation

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation

2 August 2024

Salvatore Citraro

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Papers citing "A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation"

12 / 12 papers shown

Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation Rayan Merghani Ahmed Adnan Iltaf Mohamed Elmanna Gang Zhao Hongliang Li Yue Du Bin Li Shoujun Zhou 423 0 0 07 Apr 2025
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles Chen Wei Kuo Kevin Chu Nouar Aldahoul Hazem Ibrahim Talal Rahwan Yasir Zaki SyDa 146 0 0 04 Apr 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 223 4 0 31 Dec 2024
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Wangyu Wu Xianglin Qiu Siqi Song Xiaowei Huang Fei Ma Jimin Xiao VLM 171 6 0 18 Dec 2024
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation D. Cahall Ghulam Rasool N. Bouaynaya Hassan M. Fathallah-Shaykh 53 6 0 15 Aug 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 143 643 0 05 Jul 2021
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization Xingjia Pan Yingguo Gao Zhiwen Lin Fan Tang Weiming Dong Haolei Yuan Feiyue Huang Changsheng Xu WSOL 65 87 0 08 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Cher Bass Mariana da Silva Carole Sudre Logan Z. J. Williams Petru-Daniel Tudosiu F. Alfaro-Almagro S. Fitzgibbon M. Glasser Stephen M. Smith E. C. Robinson 50 27 0 03 Mar 2021
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 141 1,969 0 08 Oct 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,881 0 10 Apr 2017
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,338 0 14 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014

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