Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
and Energy-Based Uncertainty Prediction

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Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction

31 December 2023

Zachary Schwehr

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Papers citing "Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction"

18 / 18 papers shown

Title
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation Jianwei Lin Jiatai Lin Chenghao Lu Hao Chen Huan Lin ... Biao Huang C. Liang Guoqiang Han Zaiyi Liu Chu Han MedIm 76 77 0 15 Jul 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 95 324 0 27 Mar 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 126 1,147 0 04 Jan 2022
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark S. Dubey S. Singh B. B. Chaudhuri 112 680 0 29 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 240 1,165 0 07 Jul 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task Haozhe Jia Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 80 48 0 30 Dec 2020
nnU-Net for Brain Tumor Segmentation Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Vollmuth Klaus H. Maier-Hein 72 299 0 02 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,376 0 08 Oct 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Kaichen Zhou Elsa D. Angelini Yike Guo Wenjia Bai MedIm 67 33 0 26 Jun 2020
A survey of loss functions for semantic segmentation Shruti Jadon SSeg 107 845 0 26 Jun 2020
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 310 1,909 0 08 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 164 734 0 19 Jul 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 145 1,639 0 05 Nov 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 107 6,185 0 18 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 168 5,081 0 11 Apr 2018
An application of cascaded 3D fully convolutional networks for medical image segmentation H. Roth H. Oda Xiangrong Zhou N. Shimizu Ying Yang Y. Hayashi M. Oda M. Fujiwara K. Misawa K. Mori 54 275 0 14 Mar 2018
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 193 3,715 0 27 Jul 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 760 37,927 0 20 May 2016