Amin Javaria相关文献与解析，生知库 | 链接生命科学的每一步

Sorghum crops classification and segmentation using shifted window transformer neural network and localization based on (YOLO)v9-path aggregation network

基于移位窗口变换神经网络的高粱作物分类与分割以及基于YOLOv9路径聚合网络的定位

期刊:Frontiers in Plant Science

影响因子:4.8

doi:10.3389/fpls.2025.1586865

Amin, Javaria; Zahra, Rida; Maryum, Alena; Sarwar, Amber; Zafar, Amad; Kim, Seong-Han

发表日期：2025

文献求助收藏

Deep Q-Learning for Gastrointestinal Disease Detection and Classification

基于深度Q学习的胃肠道疾病检测与分类

期刊:Bioengineering-Basel

影响因子:3.8

doi:10.3390/bioengineering12111184

Saba, Aini; Amin, Javaria; Ali, Muhammad Umair

发表日期：2025

文献求助收藏

Retraction notice to "Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning" [Heliyon 10 (2024) e30954]

撤稿声明：“使用 ResNet-18-YOLOv8 模型和基于迁移学习的 DR 分类信息特征选择对 NPDR 病变进行定位和分级”[Heliyon 10 (2024) e30954]

期刊:Heliyon

影响因子:3.6

doi:10.1016/j.heliyon.2025.e43838

Amin, Javaria; Shazadi, Irum; Sharif, Muhammad; Yasmin, Mussarat; Almujally, Nouf Abdullah; Nam, Yunyoung

发表日期：2025

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Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning

量子人工智能在精神病诊断中的应用：利用量子机器学习增强痴呆症分类

期刊:Frontiers in Psychiatry

影响因子:3.2

doi:10.3389/fpsyt.2025.1648060

Amin, Javaria; Ali, Muhammad Umair; Islam, Muhammad Zubair; Lee, Seung Won

发表日期：2025

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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks

基于边界感知分割网络的皮肤病变分割和基于卷积神经网络与Transformer神经网络混合的分类

期刊:Frontiers in Medicine

影响因子:3

doi:10.3389/fmed.2025.1524146

Amin, Javaria; Azhar, Marium; Arshad, Habiba; Zafar, Amad; Kim, Seong-Han

发表日期：2025

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Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning

利用 ResNet-18-YOLOv8 模型对 NPDR 病变进行定位和分级，并基于迁移学习选择信息丰富的特征用于 DR 分类

期刊:Heliyon

影响因子:3.6

doi:10.1016/j.heliyon.2024.e30954

Amin, Javaria; Shazadi, Irum; Sharif, Muhammad; Yasmin, Mussarat; Almujally, Nouf Abdullah; Nam, Yunyoung

发表日期：2024

文献求助收藏

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

文献求助收藏

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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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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Advanced hybrid transformer CNN framework for improved skin lesion classification and segmentation

用于改进皮肤病变分类和分割的高级混合Transformer CNN框架

Sorghum crops classification and segmentation using shifted window transformer neural network and localization based on (YOLO)v9-path aggregation network

基于移位窗口变换神经网络的高粱作物分类与分割以及基于YOLOv9路径聚合网络的定位

Deep Q-Learning for Gastrointestinal Disease Detection and Classification

基于深度Q学习的胃肠道疾病检测与分类

Retraction notice to "Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning" [Heliyon 10 (2024) e30954]

撤稿声明：“使用 ResNet-18-YOLOv8 模型和基于迁移学习的 DR 分类信息特征选择对 NPDR 病变进行定位和分级”[Heliyon 10 (2024) e30954]

Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning

量子人工智能在精神病诊断中的应用：利用量子机器学习增强痴呆症分类

Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks

基于边界感知分割网络的皮肤病变分割和基于卷积神经网络与Transformer神经网络混合的分类

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning

利用 ResNet-18-YOLOv8 模型对 NPDR 病变进行定位和分级，并基于迁移学习选择信息丰富的特征用于 DR 分类

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

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

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