Iain Carmichael

Iain Carmichael

University of Washington

H-index: 7

North America-United States

About Iain Carmichael

Iain Carmichael, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Computational pathology, Networks, Structured Sparsity, Data integration.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Quantitative Examination of Illness Models Among People With Opioid Use Disorder Receiving Methadone Treatment.

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

Deep Learning for Morphology-Based, Bone Marrow Cell Classification

Fluctuation bounds for continuous time branching processes and evolution of growing trees with a change point

DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance

What’s in a name? Terminology preferences among patients receiving methadone treatment

A national study of homelessness, social determinants of health, and treatment engagement among outpatient medication for opioid use disorder-seeking individuals in the United …

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Iain Carmichael Information

University

Position

___

Citations(all)

183

Citations(since 2020)

173

Cited By

67

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Iain Carmichael Skills & Research Interests

Computational pathology

Networks

Structured Sparsity

Data integration

Top articles of Iain Carmichael

A Quantitative Examination of Illness Models Among People With Opioid Use Disorder Receiving Methadone Treatment.

Journal of Addiction Medicine

2024/3/6

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

Journal of Computational and Graphical Statistics

2023/12/21

Deep Learning for Morphology-Based, Bone Marrow Cell Classification

Blood

2023/11/2

Fluctuation bounds for continuous time branching processes and evolution of growing trees with a change point

The Annals of Applied Probability

2023/8

DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance

bioRxiv

2023/2/21

What’s in a name? Terminology preferences among patients receiving methadone treatment

Journal of General Internal Medicine

2023/2

A national study of homelessness, social determinants of health, and treatment engagement among outpatient medication for opioid use disorder-seeking individuals in the United …

Substance Abuse

2023/1

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

2022

A cohort study examining the relationship among housing status, patient characteristics, and retention among individuals enrolled in low-barrier-to-treatment-access methadone …

Journal of substance abuse treatment

2022/7/1

Joint and individual analysis of breast cancer histologic images and genomic covariates

The annals of applied statistics

2021/12

yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties

arXiv preprint arXiv:2110.05567

2021/10/11

The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property

arXiv preprint arXiv:2107.03494

2021/7/7

Iain Carmichael
Iain Carmichael

H-Index: 5

Geometric insights into support vector machine behavior using the KKT conditions

Electronic Journal of Statistics

2021

Iain Carmichael
Iain Carmichael

H-Index: 5

mvlearn: Multiview machine learning in python

Journal of Machine Learning Research

2021

Learning sparsity and block diagonal structure in multi-view mixture models

arXiv preprint arXiv:2012.15313

2020/12/30

Iain Carmichael
Iain Carmichael

H-Index: 5

See List of Professors in Iain Carmichael University(University of Washington)

Co-Authors

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