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

Enhancing image retrieval through optimal barcode representation

通过优化条形码表示来增强图像检索。

Khosrowshahli, Rasa; Kheiri, Farnaz; Asilian Bidgoli, Azam; Tizhoosh, H R; Makrehchi, Masoud; Rahnamayan, Shahryar

Investigation on potential bias factors in histopathology datasets

组织病理学数据集潜在偏倚因素调查

Kheiri, Farnaz; Rahnamayan, Shahryar; Makrehchi, Masoud; Asilian Bidgoli, Azam

A self-supervised framework for cross-modal search in histopathology archives using scale harmonization

基于尺度协调的组织病理学档案跨模态搜索自监督框架

Maleki, Danial; Rahnamayan, Shahryar; Tizhoosh, H R

Generalization of vision pre-trained models for histopathology

视觉预训练模型在组织病理学中的泛化

Sikaroudi, Milad; Hosseini, Maryam; Gonzalez, Ricardo; Rahnamayan, Shahryar; Tizhoosh, H R

Biased data, biased AI: deep networks predict the acquisition site of TCGA images

有偏数据,有偏人工智能:深度网络预测TCGA图像的采集部位

Dehkharghanian, Taher; Bidgoli, Azam Asilian; Riasatian, Abtin; Mazaheri, Pooria; Campbell, Clinton J V; Pantanowitz, Liron; Tizhoosh, H R; Rahnamayan, Shahryar

Bias reduction in representation of histopathology images using deep feature selection

利用深度特征选择减少组织病理学图像表征中的偏差

Asilian Bidgoli, Azam; Rahnamayan, Shahryar; Dehkharghanian, Taher; Grami, Ali; Tizhoosh, H R

An evolutionary decomposition-based multi-objective feature selection for multi-label classification

一种基于进化分解的多目标特征选择方法用于多标签分类

Asilian Bidgoli, Azam; Ebrahimpour-Komleh, Hossein; Rahnamayan, Shahryar

Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes

基于序列配准的MR图像体积中前列腺分割

Khalvati, Farzad; Salmanpour, Aryan; Rahnamayan, Shahryar; Haider, Masoom A; Tizhoosh, H R

Multi-resolution level sets with shape priors: a validation report for 2D segmentation of prostate gland in T2W MR images

基于形状先验的多分辨率水平集:T2加权磁共振图像中前列腺二维分割的验证报告

Al-Qunaieer, Fares S; Tizhoosh, Hamid R; Rahnamayan, Shahryar

Heterogeneous differential evolution for numerical optimization

用于数值优化的异构差分进化算法

Wang, Hui; Wang, Wenjun; Cui, Zhihua; Sun, Hui; Rahnamayan, Shahryar