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

A transfer learning-based approach for automated bone fracture classification in X-ray imaging

一种基于迁移学习的X射线图像骨折自动分类方法

Bhuria, Ruchika; Gupta, Sheifali; Ghoniem, Rania M; Singh, Jaibir; Rani, Suman; Taye, Belayneh Matebie; Bharany, Salil

Proposed dense variational autoencoder model integrated with contrastive learning for foot ulcer classification

提出了一种结合对比学习的密集变分自编码器模型用于足部溃疡分类

Shandilya, Gunjan; Gupta, Sheifali; Gupta, Deepali; Juneja, Sapna; Chadaga, Krishnaraj; Nauman, Ali; Al-Masri, Abeer A

Multi-level attention DeepLab V3+ with EfficientNetB0 for GI tract organ segmentation in MRI scans

基于多级注意力机制的 DeepLab V3+ 与 EfficientNetB0 结合,用于 MRI 扫描中胃肠道器官分割

Sharma, Neha; Gupta, Sheifali; Al-Yarimi, Fuad Ali Mohammed; Kaur, Upinder; Bharany, Salil; Rehman, Ateeq Ur; Taye, Belayneh Matebie

Deep learning-based phenotyping of lettuce diseases using Efficient-FBM-FRMNet for precision agriculture

基于深度学习的莴苣病害表型分析:利用高效FBM-FRMNet实现精准农业

Nasra, Parul; Gupta, Sheifali; Khan, Mudassir; Singh, Jaibir; Alabdullah, Bayan; Almjally, Abrar; Pant, Ruby; Kumar, Nitin; Bharany, Salil

FasNet: a hybrid deep learning model with attention mechanisms and uncertainty estimation for liver tumor segmentation on LiTS17

FasNet:一种结合注意力机制和不确定性估计的混合深度学习模型,用于LiTS17数据集上的肝肿瘤分割。

Singh, Rahul; Gupta, Sheifali; Almogren, Ahmad; Rehman, Ateeq Ur; Bharany, Salil; Altameem, Ayman; Choi, Jaeyoung

ARCUNet: enhancing skin lesion segmentation with residual convolutions and attention mechanisms for improved accuracy and robustness

ARCUNet:利用残差卷积和注意力机制增强皮肤病变分割,以提高准确性和鲁棒性

Soni, Tanishq; Gupta, Sheifali; Almogren, Ahmad; Altameem, Ayman; Rehman, Ateeq Ur; Hussen, Seada; Bharany, Salil

Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms

利用可解释人工智能增强的胎儿超声图像分割技术,结合U-Net++和注意力机制,推进产前医疗保健。

Singh, Retinderdeep; Gupta, Sheifali; Mohamed, Heba G; Bharany, Salil; Rehman, Ateeq Ur; Ghadi, Yazeed Yasin; Hussen, Seada

Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets

基于可解释性驱动的先进动态集成框架,用于跨数据集的精准脑肿瘤分类

Singh, Retinderdeep; Gupta, Sheifali; Ibrahim, Ashraf Osman; Gabralla, Lubna A; Bharany, Salil; Rehman, Ateeq Ur; Hussen, Seada

Retinal vessel segmentation using multi scale feature attention with MobileNetV2 encoder

基于多尺度特征注意力机制和MobileNetV2编码器的视网膜血管分割

Soni, Tanishq; Gupta, Sheifali; Bharany, Salil; Rehman, Ateeq Ur; Ghoniem, Rania M; Taye, Belayneh Matebie

Enhanced Maize Leaf Disease Detection and Classification Using an Integrated CNN-ViT Model

基于集成 CNN-ViT 模型的玉米叶片病害检测与分类增强

Shandilya, Gunjan; Gupta, Sheifali; Mohamed, Heba G; Bharany, Salil; Rehman, Ateeq Ur; Hussen, Seada