Author

Rhett N. D’souza

University of Pittsburgh

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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Bioengineering· 1 Neuroscience· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Sandip S. PanesariD· 2 shared Fang-Cheng F. YehiD· 1 shared Fang-Cheng Yeh· 1 shared João Tiago Alves-BeloiD· 1 shared Juan Carlos Fernandez-MirandaiD· 1 shared Po-Yao Huang· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 5 mutual co-author links

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2 shared papersNeuroscience

Sandip S. PanesarORCID

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3 papers

Recent·Most cited

NeuroscienceWorld Neurosurgery XPeer-reviewedJan 27, 2019

Machine learning versus logistic regression methods for 2-year mortality prognostication in a small, heterogeneous glioma database

Sandip S. Panesar, Rhett N. D’souza, Fang-Cheng F. Yeh, Juan Carlos Fernandez-Miranda

The paper compares machine learning and logistic regression for predicting 2-year mortality in a small glioma dataset, finding similar performance between ML methods and logistic regression.

79 citationstop 2%

humanmachine learning (classical)

𝕏 PostBluesky

BioengineeringbioRxivPreprintAug 28, 2018

Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size

Rhett N. D’souza, Po-Yao Huang, Fang-Cheng Yeh

This paper investigates how network structure affects performance in small data settings and finds that optimal structure is data-driven, not sample size-driven.

DOI 10.1101/402610

imagingstatistical model

𝕏 PostBluesky

Synthetic BiologyWorld NeurosurgeryPeer-reviewedFeb 24, 2018

Feasibility of clinician-facilitated 3D printing of synthetic cranioplasty flaps

Sandip S. Panesar, João Tiago Alves-Belo, Rhett N. D’souza

The paper evaluates 3D scanning and printing techniques for creating synthetic cranioplasty flaps, finding that laser-scanner models provided the best fit with minimal modification.

7 citations

experimental assay

𝕏 PostBluesky