Author

A. Apte

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

J. Deasy· 3 shared J. H. Oh· 3 shared A. Iyer· 2 shared A. Tannenbaum· 2 shared M. Pouryahya· 2 shared U. Mahmood· 2 shared A. Rimner· 1 shared A. S. Dave· 1 shared

Activity by Year

2019-2019 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersBioengineering

J. Deasy

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Author profile →

4 papers

Recent·Most cited

Optimal Mass Transport for Robust Texture Analysis

Z. Belkhatir, A. Iyer, J. Mathews, M. Pouryahya, S. Nadeem, J. Deasy, A. Apte, A. Tannenbaum

This paper introduces a texture analysis method using optimal mass transport to improve robustness in CT slice classification for head and neck cancer, outperforming random forest on scalar features.

bioRxiv · Nov 27, 2019 · PreprintBioengineering

Reproducibility test of radiomics using network analysis and Wasserstein K-means algorithm

J. H. Oh, A. Apte, E. Katsoulakis, N. Riaz, V. Hatzoglou, Y. Yu, J. Leeman, U. Mahmood, M. Pouryahya, A. Iyer, A. Shukla-Dave, A. Tannenbaum, N. Lee, J. Deasy

This paper develops a network-based method to identify reproducible radiomic features across different imaging settings and validates it using phantom and external datasets.

bioRxiv · Sep 19, 2019 · PreprintBiophysics

Anatomically Informed 3D Printed CT phantoms: The First Step of a Pipeline To Identify Robust Quantitative Radiomic Features

U. Mahmood, A. Apte, C. Kanan, D. Bates, G. Corrias, L. Mannelli, J. H. Oh, Y. E. Erdi, J. Nguyen, J. O. Deasy, A. S. Dave

This paper demonstrates the feasibility of creating 3D printed CT phantoms from patient data to assess the repeatability and robustness of radiomic features across different scanning parameters.

bioRxiv · Sep 18, 2019 · PreprintBiophysics

Serum Alpha-2-Macroglobulin as an intrinsic radioprotective factor in patients undergoing thoracic radiation therapy

D. von Reibnitz, E. Yorke, J. H. Oh, A. Apte, J. Yang, H. Pham, M. Thor, A. Wu, M. Fleisher, E. Gelb, J. Deasy, A. Rimner

This study investigates the association between baseline alpha-2-macroglobulin levels and radiation-induced toxicities in thoracic radiotherapy patients, finding a link with esophagitis and developing predictive models for toxicity.

bioRxiv · May 31, 2019 · PreprintCancer Biology