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B. Hobbs

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • cs.CV1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedA Bayesian Nonparametric model for textural pattern heterogeneity

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

stat.AP2020★ 1 cited

A Bayesian Nonparametric model for textural pattern heterogeneity

Xiao Li, Michele Guindani, Chaan S. Ng +1

Cancer radiomics is an emerging discipline promising to elucidate lesion phenotypes and tumor heterogeneity through patterns of enhancement, texture, morphology, and shape. The pre…

stat.ME2020

A Survival Mediation Model with Bayesian Model Averaging

Jie Zhou, Xun Jiang, H. Amy Xia +2

Determining the extent to which a patient is benefiting from cancer therapy is challenging. Criteria for quantifying the extent of "tumor response" observed within a few cycles of…

stat.ME2020

Statistical design considerations for trials that study multiple indications

Alexander M. Kaizer, Joseph S. Koopmeiners, Nan Chen +1

Breakthroughs in cancer biology have defined new research programs emphasizing the development of therapies that target specific pathways in tumor cells. Innovations in clinical tr…

cs.CV2018

A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors

Laramie Paxton, Yufeng Cao, Kevin R. Vixie +3

Tumor detection in biomedical imaging is a time-consuming process for medical professionals and is not without errors. Thus in recent decades, researchers have developed algorithmi…

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