Brain Tumor Segmentation with Deep Neural Networks

13 May 2015

Aaron Courville

Papers citing "Brain Tumor Segmentation with Deep Neural Networks"

50 / 177 papers shown

Title
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz DiffM MedIm 44 0 0 24 Feb 2025
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation Huiyu Li Xiabi Liu Said Boumaraf Xiaopeng Gong Donghai Liao Xiaohong Ma 3DV MedIm 81 9 0 17 Jan 2025
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field Lan Jiang Yuchao Zheng Miao Yu Haiqing Zhang Fatemah Aladwani Alessandro Perelli MedIm 71 0 0 21 Nov 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge D. Labella Ujjwal Baid O. Khanna Shan McBurney-Lin Ryan McLean ... A. Abouelatta Tanvir Rizvi Klara Willms Dann C. Martin Abdullah Okar 44 7 0 16 May 2024
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment Kazi Shahriar Sanjid Md. Tanzim Hossain Md. Shakib Shahariar Junayed M. M. Uddin Mamba 43 2 0 26 Apr 2024
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network F. Pernas M. Martínez-Zarzuela M. Antón-Rodríguez D. G. Ortega 38 343 0 04 Feb 2024
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models K. Poudel Manish Dhakal Prasiddha Bhandari Rabin Adhikari Safal Thapaliya Bishesh Khanal VLM 30 17 0 15 Aug 2023
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation A. Temtam Linmin Pei Khan M. Iftekharuddin 20 0 0 07 Jun 2023
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence I. Sobirov 38 0 0 31 May 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation G. Prasanna John Rohit Ernest G. Lalitha Sathiya Narayanan 34 3 0 13 May 2023
Brain tumor multi classification and segmentation in MRI images using deep learning Belal Amin Romario Sameh Samir Youssef Tarek M. Ahmed R. Ibrahim Manar Ahmed Mohamed Hassan 8 4 0 20 Apr 2023
Unsupervised Brain Tumor Segmentation with Image-based Prompts Xinru Zhang N. Ou Chenghao Liu Z. Zhuo Yao Liu Chuyang Ye VLM 27 2 0 04 Apr 2023
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Multimodal and multicontrast image fusion via deep generative models Giovanna Maria Dimitri Simeon E. Spasov A. Duggento L. Passamonti Pietro Lio N. Toschi MedIm 13 27 0 28 Mar 2023
DOMINO: Domain-aware Loss for Deep Learning Calibration Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang MedIm 13 1 0 10 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 32 16 0 08 Feb 2023
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation Lukman Hakim Takio Kurita 25 1 0 28 Dec 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 30 1 0 11 Nov 2022
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis Md Abdullah Al Nasim Abdullah Al Munem Maksuda Islam Md Aminul Haque Palash Md. Mahim Anjum Haque F. Shah 29 30 0 24 Oct 2022
Centralized Feature Pyramid for Object Detection Yu Quan Dong Zhang Liyan Zhang Jinhui Tang ObjD 31 152 0 05 Oct 2022
Trichomonas Vaginalis Segmentation in Microscope Images Lin Li Jingyi Liu Shuo Wang Xun Wang Tian-Zhu Xiang 37 7 0 03 Jul 2022
Automated GI tract segmentation using deep learning M. Sharma 37 7 0 22 Jun 2022
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients Wen Tang Haoyue Zhang Pengxin Yu Han Kang Rongguo Zhang 31 6 0 13 Jun 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation Junwen Pan Pengfei Zhu Kaihua Zhang Bing Cao Yu Wang Dingwen Zhang Junwei Han Q. Hu 21 60 0 19 Mar 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 33 12 0 17 Feb 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 20 16 0 04 Jan 2022
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 30 1 0 02 Dec 2021
Data Augmentation For Medical MR Image Using Generative Adversarial Networks Panjian Huang Xu Liu Yongzhen Huang OOD MedIm 17 10 0 29 Nov 2021
Bengali Handwritten Grapheme Classification: Deep Learning Approach Tarun Roy H. Hasan Kowsar Hossain Masuma Akter Rumi GNN 21 0 0 16 Nov 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 29 104 0 07 Oct 2021
Self-Regulation for Semantic Segmentation Zhangfu Dong Zhang Hanwang T. Jinhui Huang Xiansheng Sun Qianru 36 36 0 22 Aug 2021
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation D. Cahall Ghulam Rasool N. Bouaynaya Hassan M. Fathallah-Shaykh 32 6 0 15 Aug 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework Xi Guan Guang Yang Jianming Ye Weiji Yang Xiaomei Xu Weiwei Jiang Xiaobo Lai 15 113 0 26 Jul 2021
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays G. Jignesh Chowdary G. Suganya M. Premalatha K. Karunamurthy 32 6 0 19 Jul 2021
Predicting Disease Progress with Imprecise Lab Test Results Mei Wang Jianwen Su Zhi-kai Lin 10 0 0 08 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 23 24 0 29 Jun 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities Yixin Wang Yang Zhang Yang Liu Zihao Lin Jiang Tian Cheng Zhong Zhongchao Shi Jianping Fan Zhiqiang He 24 68 0 28 Jun 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 17 14 0 24 May 2021
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation Kelei He Wen Ji Tao Zhou Zhuoyuan Li Jing Huo Xin Zhang Yang Gao Dinggang Shen Bing-Bin Zhang Junfeng Zhang OOD 17 7 0 17 May 2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss Youbao Tang Jinzheng Cai K. Yan Lingyun Huang Guotong Xie Jing Xiao Jingjing Lu Gigin Lin Le Lu 50 25 0 03 May 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network Qiangguo Jin Hui Cui Changming Sun Zhaopeng Meng R. Su GAN MedIm 38 44 0 20 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 27 141 0 13 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 32 394 0 08 Feb 2021
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views? Yi Ding Wei Zheng Guozheng Wu Ji Geng Mingsheng Cao Zhiguang Qin 22 1 0 21 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 23 26 0 11 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation Ngan Le Kashu Yamazaki Dat T. Truong Kha Gia Quach Marios Savvides MedIm 30 18 0 03 Dec 2020