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Eliana Marostica

Showing results (1-10 of 7) with videos related to

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Ebiomedicine|November 7, 2020
Deep decision support for lymph node metastatic risk evaluationEliana Marostica, Kun-Hsing Yu
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 16, 2021
Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell CarcinomaEliana Marostica, Rebecca Barber, Thomas Denize, et al.
Clinical Lung Cancer|May 29, 2026
Treatment Attrition From Surgery to Adjuvant Therapy in Stage IIB and IIIA Lung Adenocarcinoma: A National Cancer Database AnalysisOmar Bushara, Mohammad S Farooq, Shawn Ahn, et al.
Med (New York, N.Y.)|July 8, 2023
Machine learning for cryosection pathology predicts the 2021 WHO classification of gliomaMacLean P Nasrallah, Junhan Zhao, Cheng Che Tsai, et al.
Nature Communications|April 13, 2023
Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patientsPei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, et al.
Nature|September 4, 2024
A pathology foundation model for cancer diagnosis and prognosis predictionXiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature Communications|September 29, 2025
Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimicsJunhan Zhao, Shih-Yen Lin, Raphaël Attias, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Ebiomedicine|November 7, 2020
Deep decision support for lymph node metastatic risk evaluationEliana Marostica, Kun-Hsing Yu
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 16, 2021
Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell CarcinomaEliana Marostica, Rebecca Barber, Thomas Denize, et al.
Clinical Lung Cancer|May 29, 2026
Treatment Attrition From Surgery to Adjuvant Therapy in Stage IIB and IIIA Lung Adenocarcinoma: A National Cancer Database AnalysisOmar Bushara, Mohammad S Farooq, Shawn Ahn, et al.
Med (New York, N.Y.)|July 8, 2023
Machine learning for cryosection pathology predicts the 2021 WHO classification of gliomaMacLean P Nasrallah, Junhan Zhao, Cheng Che Tsai, et al.
Nature Communications|April 13, 2023
Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patientsPei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, et al.
Nature|September 4, 2024
A pathology foundation model for cancer diagnosis and prognosis predictionXiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature Communications|September 29, 2025
Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimicsJunhan Zhao, Shih-Yen Lin, Raphaël Attias, et al.
Pageof 1