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Publication search results
found 518 matches
- 2024
- Qian Yang, Chengfeng Wang, Kaicheng Pan, Bing Xia, Ruifei Xie, Jiankai Shi:
An improved 3D-UNet-based brain hippocampus segmentation model based on MR images. BMC Medical Imaging 24(1): 166 (2024) - Zekuan Yu, Xiang Li, Jiaxin Li, Weiqiang Chen, Zhiri Tang, Daoying Geng:
HSA-net with a novel CAD pipeline boosts both clinical brain tumor MR image classification and segmentation. Comput. Biol. Medicine 170: 108039 (2024) - Amrita Kaur, Yadwinder Singh, Basavraj Chinagundi:
ResUNet + + : a comprehensive improved UNet + + framework for volumetric semantic segmentation of brain tumor MR images. Evol. Syst. 15(4): 1567-1585 (2024) - Marjan Vatanpour, Javad Haddadnia:
Brain tumour segmentation of MR images based on custom attention mechanism with transfer-learning. IET Image Process. 18(4): 886-896 (2024) - Jainy Sachdeva, Deepanshu Sharma, Chirag Kamal Ahuja:
Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images. Image Vis. Comput. 149: 105191 (2024) - Haipeng Zhu, Hong He:
A novel residual fourier convolution model for brain tumor segmentation of mr images. Pattern Anal. Appl. 27(4): 111 (2024) - Zouhair Mbarki, Amine Ben Slama, Yessine Amri, Hedi Trabelsi, Hassene Seddik:
BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images. J. Supercomput. 80(9): 13272-13294 (2024) - Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images. ICCE 2024: 1-4 - Subin Sahayam, Umarani Jayaraman:
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images. CoRR abs/2401.01303 (2024) - Lucas Mahler, Julius Steiglechner, Benjamin Bender, Tobias Lindig, Dana Ramadan, Jonas Bause, Florian Birk, Rahel Heule, Edyta Charyasz, Michael Erb, Vinod Jangir Kumar, Gisela E. Hagberg, Pascal Martin, Gabriele Lohmann, Klaus Scheffler:
UltraCortex: Submillimeter Ultra-High Field 9.4 T1 Brain MR Image Collection and Manual Cortical Segmentations. CoRR abs/2406.18571 (2024) - Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR abs/2407.21328 (2024) - 2023
- Zhaoyu Hu, Leyin Li, An Sui, Guoqing Wu, Yuanyuan Wang, Jinhua Yu:
An efficient R-Transformer network with dual encoders for brain glioma segmentation in MR images. Biomed. Signal Process. Control. 79(Part): 104034 (2023) - Madhumita Ray, Nabanita Mahata, Jamuna Kanta Sing:
Uncertainty parameter weighted entropy-based fuzzy c-means algorithm using complemented membership functions for noisy volumetric brain MR image segmentation. Biomed. Signal Process. Control. 85: 104925 (2023) - Xiufeng Zhang, Yansong Liu, Shengjin Guo, Zhao Song:
EG-Unet: Edge-Guided cascaded networks for automated frontal brain segmentation in MR images. Comput. Biol. Medicine 158: 106891 (2023) - Mouna Zitouni, Afif Masmoudi, Mourad Zribi:
Tweedie hidden Markov random field and the expectation-method of moments and maximisation algorithm for brain MR image segmentation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 67-79 (2023) - Yoonseok Choi, Mohammed A. Al-masni, Kyu-Jin Jung, Roh-Eul Yoo, Seong-Yeong Lee, Dong-Hyun Kim:
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities. Comput. Methods Programs Biomed. 240: 107644 (2023) - Mingming Chen, Yujie Guo, Pengcheng Wang, Qi Chen, Lu Bai, Shaobin Wang, Ya Su, Lizhen Wang, Guanzhong Gong:
An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images. J. Digit. Imaging 36(4): 1782-1793 (2023) - K. N. Bhanu Prakash, C. S. Arvind, Abdalla Z. Mohamed, Krishna Kanth Chitta, Xuan Vinh To, Hussein Srour, Fatima A. Nasrallah:
An end-end deep learning framework for lesion segmentation on multi-contrast MR images - an exploratory study in a rat model of traumatic brain injury. Medical Biol. Eng. Comput. 61(3): 847-865 (2023) - Prabhjot Kaur Chahal, Shreelekha Pandey:
A hybrid weighted fuzzy approach for brain tumor segmentation using MR images. Neural Comput. Appl. 35(33): 23877-23891 (2023) - Ahana Priyanka, Kavitha Ganesan:
Severity estimation of brainstem in dementia MR images using moth flame optimized segmentation and fused deep feature selection. Neural Comput. Appl. 35(12): 9093-9104 (2023) - Irfan Sadiq Rahat, Hritwik Ghosh, Shaik Kareemulla, Syed Khasim, Gnanajeyaraman Rajaram:
Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images. EAI Endorsed Trans. Pervasive Health Technol. 9(1) (2023) - Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Senthilkumar:
Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique. IEEE Trans. Ind. Informatics 19(11): 11150-11159 (2023) - Abhisha Mano, Swaminathan Anand:
Local Average Based Kinetic Gas Molecular (LA-KGMO) Optimized MR Brain Image Segmentation Using Modified Self Organizing Map (MSOM). Wirel. Pers. Commun. 128(4): 2703-2723 (2023) - Shuo Yan, Zheng Zhang, Bo Zhang, Wendong Wang:
A 3D Framework for Brain Tumor Segmentation from Multi-modal MR Images. IEEE Big Data 2023: 2555-2560 - Romil Imtiaz, Muhammad Waqar Mirza, Asif Siddiq, Muhammad Farooq-i-Azam, Ishtiaq Rasool Khan, Susanto Rahardja:
Brain Tumor Segmentation from MR Images using Customized U-net for a Smaller Dataset. BioCAS 2023: 1-5 - Yaqi Wang, Hanzhi Zhang, Hongjin Ren, Liang Xiao:
The Segmentation of Brain Tumor from MR Images Based on U-Net++ Network and Attention Mechanism. CISP-BMEI 2023: 1-6 - Amiya Halder, Rudrajit Choudhuri, Arinjay Bhowmick:
Rough Spatial Ensemble Kernelized Fuzzy C Means Clustering for Robust Brain MR Image Tissue Segmentation. CVIP (3) 2023: 350-363 - Herng-Hua Chang, Shin-Joe Yeh, Ming-Chang Chiang, Sung-Tsang Hsieh:
Automated Stroke Lesion Segmentation in Rat Brain MR Images Using an Encoder-Decoder Framework. EMBC 2023: 1-4 - Thuong-Cang Phan, Anh-Cang Phan, Khac-Tuong Nguyen, Ho-Dat Tran:
Detection and Segmentation of Brain Tumors on 3D MR Images Using 3D U-Net. FDSE 2023: 528-541 - Esraa H. Ali, Sawsan Sadek, Zaid F. Makki:
Novel Improved Fuzzy C-means Clustering for MR Image Brain Tissue Segmentation to Detect Alzheimer's Disease. ICCA 2023: 1-6
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