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Archit Khosla

Eli Lilly
H指数:6
被引数:191

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Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions Using Additive Multiple Instance Learning

苏木精和伊红染色图像中基因特征的空间映射:一种基于加性多重实例学习的可解释预测的概念验证

2025-05-150
OAAI
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification

使用乳糜泻的定量和可解释的组织学分析进行自动细胞类型和组织区域分类的可行性研究

2024-12-020
OAAI
AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis
2024-06-190
OAAI
AI-based quantitation of cancer cell and fibroblast nuclear morphology reflects transcriptomic heterogeneity and predicts survival in breast cancer
2023-03-010
PRE
CONCORDANCE ANALYSIS OF AI-POWERED CD8 QUANTIFICATION AND AUTOMATED CD8 TOPOLOGY WITH MANUAL HISTOPATHOLOGICAL ASSESSMENT ACROSS SEVEN SOLID TUMOR TYPES
2022-11-070
OA
A MULTI-TUMOR MACHINE LEARNING MODEL TO IDENTIFY TERTIARY LYMPHOID STRUCTURES IN HISTOPATHOLOGICAL H&E IMAGES AS A POTENTIAL CLINICAL BIOMARKER
2022-11-070
OA
Artificial intelligence analysis of advanced breast cancer patients from a phase I trial of trastuzumab deruxtecan (T-DxD): HER2 and histopathology features as predictors of clinical benefit

来自曲妥珠单抗deruxtecan (t-dxd) I期试验的晚期乳腺癌患者的人工智能分析: HER2和组织病理学特征作为临床获益的预测因子

2020-09-011
OAAI