M Khalid Khan相关文献与解析，生知库 | 链接生命科学的每一步

Personalized Morphology, Replication Timing, and RNA based Gene Expression Networks for Basal-like and Classical subtyping genes in Pancreatic Adenocarcinoma

胰腺腺癌基底样和经典亚型基因的个性化形态学、复制时间和基于RNA的基因表达网络

期刊:

影响因子:

doi:10.64898/2026.03.12.711434

Leyva, Alejandro; Niazi, M Khalid Khan

Neural Networks as Entropic Systems: Applications in Digital Pathology

神经网络作为熵系统：在数字病理学中的应用

期刊:

影响因子:

doi:10.64898/2026.01.30.702864

Leyva, Alejandro; Niazi, M Khalid Khan

发表日期：2026

文献求助收藏

An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study

组织病理学乳腺图像中TILs评分观察者间一致性测量的可解释框架：一项原理验证研究

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0314450

Capar, Abdulkerim; Ekinci, Dursun Ali; Ertano, Mucahit; Niazi, M Khalid Khan; Balaban, Erva Bengu; Aloglu, Ibrahim; Dogan, Meryem; Su, Ziyu; Aker, Fugen Vardar; Gurcan, Metin Nafi

发表日期：2024

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Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal Cancer

将SAM应用于结直肠癌肿瘤芽分割的组织病理学图像

期刊:

影响因子:

doi:10.1117/12.3006517

Su, Ziyu; Chen, Wei; Annem, Sony; Sajjad, Usama; Rezapour, Mostafa; Frankel, Wendy L; Gurcan, Metin N; Niazi, M Khalid Khan

NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images

NRK-ABMIL：乳腺癌全切片图像中用于预测淋巴结转移的细微转移灶检测

期刊:Cancers

影响因子:4.4

doi:10.3390/cancers15133428

Sajjad, Usama; Rezapour, Mostafa; Su, Ziyu; Tozbikian, Gary H; Gurcan, Metin N; Niazi, M Khalid Khan

Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels

对比多示例学习：一种无需标签即可学习全切片组织病理图像切片级表征的无监督框架

期刊:Cancers

影响因子:4.4

doi:10.3390/cancers14235778

Tavolara, Thomas E; Gurcan, Metin N; Niazi, M Khalid Khan

发表日期：2022

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Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning

利用深度学习自动发现结核分枝杆菌超敏反应的临床可解释影像学生物标志物

期刊:EBioMedicine

影响因子:10.8

doi:10.1016/j.ebiom.2020.103094

Tavolara, Thomas E; Niazi, M Khalid Khan; Ginese, Melanie; Piedra-Mora, Cesar; Gatti, Daniel M; Beamer, Gillian; Gurcan, Metin N

发表日期：2020

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Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection

作者更正：模块化 cGAN 分类框架：在结直肠肿瘤检测中的应用

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-020-59307-6

Tavolara, Thomas E; Niazi, M Khalid Khan; Arole, Vidya; Chen, Wei; Frankel, Wendy; Gurcan, Metin N

Quantum chemical profiling of protein mutations via fragment-based DFT

基于片段密度泛函理论的蛋白质突变量子化学分析

Predicting Protein Cascade Expression from H&E Images

从H&E图像预测蛋白质级联表达

Personalized Morphology, Replication Timing, and RNA based Gene Expression Networks for Basal-like and Classical subtyping genes in Pancreatic Adenocarcinoma

胰腺腺癌基底样和经典亚型基因的个性化形态学、复制时间和基于RNA的基因表达网络

Neural Networks as Entropic Systems: Applications in Digital Pathology

神经网络作为熵系统：在数字病理学中的应用

An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study

组织病理学乳腺图像中TILs评分观察者间一致性测量的可解释框架：一项原理验证研究

Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal Cancer

将SAM应用于结直肠癌肿瘤芽分割的组织病理学图像

NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images

NRK-ABMIL：乳腺癌全切片图像中用于预测淋巴结转移的细微转移灶检测

Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels

对比多示例学习：一种无需标签即可学习全切片组织病理图像切片级表征的无监督框架

Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning

利用深度学习自动发现结核分枝杆菌超敏反应的临床可解释影像学生物标志物

Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection

作者更正：模块化 cGAN 分类框架：在结直肠肿瘤检测中的应用