日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Clinically acquired new challenging dataset for brain SOL segmentation: AJBDS-2023

临床采集的用于脑SOL分割的全新挑战性数据集：AJBDS-2023

期刊:Data in Brief
影响因子:1.4
doi:10.1016/j.dib.2023.109915
Amin, Javaria; Anjum, Muhammad Almas; Gul, Nadia; Sharif, Muhammad; Kadry, Seifedine
神经科学
发表日期：2024
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Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks.

基于YOLOv3和3D语义分割的深度神经网络肝肿瘤定位

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics12040823
Amin Javaria, Anjum Muhammad Almas, Sharif Muhammad, Kadry Seifedine, Nadeem Ahmed, Ahmad Sheikh F
肿瘤
发表日期：2022
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Microscopic segmentation and classification of COVID-19 infection with ensemble convolutional neural network

利用集成卷积神经网络对 COVID-19 感染进行微观分割和分类

期刊:Microscopy Research and Technique
影响因子:2.1
doi:10.1002/jemt.23913
Amin, Javeria; Anjum, Muhammad Almas; Sharif, Muhammad; Rehman, Amjad; Saba, Tanzila; Zahra, Rida
炎症/感染
发表日期：2022
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An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph

基于胸部X光片的经典和量子迁移学习的COVID-19分类集成框架

期刊:Concurrency and Computation-Practice & Experience
影响因子:1.5
doi:10.1002/cpe.6434
Umer, Muhammad Junaid; Amin, Javeria; Sharif, Muhammad; Anjum, Muhammad Almas; Azam, Faisal; Shah, Jamal Hussain
发表日期：2022
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An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach

一种基于经典神经网络和卷积神经网络融合以及改进的微观特征选择方法的COVID-19检测与分类智能设计

期刊:Microscopy Research and Technique
影响因子:2.1
doi:10.1002/jemt.23779
Amin, Javaria; Anjum, Muhammad Almas; Sharif, Muhammad; Saba, Tanzila; Tariq, Usman
发表日期：2021
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