Publications

2026

Automatic MRI Detection and Grading of L-spine Intervertebral Disc Degeneration (IVDD) at 0.05 Tesla via Deep Learning

Junhao Zhang

Yujiao Zhao

Vick Lau

Liubin Wu

Xuehong Lin

Jiahao Hu

Ye Ding

Shi Su

Kay C. Igwe

Andrew Laine

Chunyi Wen

Alex T.L. Leong

Ed X. Wu

Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps

Jordan Jomsky

Zongyu Li

Kay C Igwe

Yiren Zhang

Max Lashley

Tal Nuriel

Andrew Laine

Scott Small

Jia Guo

3-D ordinal regression CNN for opportunistic breast density grading on chest CT

Artur Wysoczanski

Elsa D. Angelini

Sachin R. Jambawalikar

Mary M. Salvatore

Andrew F. Laine

Attention Mechanisms in UNet Variants for Medical Image Segmentation: A Comprehensive and State-of-the-Art Narrative Review

Siddharth Gupta

Yogendra Chhetri

Amit Pandey

Akansha Singh

Mrinalini Bhagawati

Suneet Gupta

Neha Gupta

Surbhi Verma

Ekta Tiwari

Mustafa Al-Maini

Mostafa M. Fouda

Gavina Faa

Esma R Isenovic

Andrew Laine

Luca Saba

Jasjit S. Suri

TumorCLIP: Lightweight Vision–Language Fusion for Explainable 2 MRI-Based Brain Tumor Classification

Yishaoying Jia

Jinfu Niu

Zhonghui Qie

Zongyu Li

Andrew Laine

Jia Guo

Optical Flow Components as Auxiliary Features for 3D Pancreatic Ductal Adenocarcinoma Tumor Segmentation

Soomin Park

Kay C. Igwe

Soroush Arabshahi

Siddhardha Nanda

Samuel Lee

Sree Kuntamukkala

Carmine Palermo

Stephen Sastra

Michael A. Badgley

Yanping Sun

Kenneth P. Olive

Andrew F. Laine

Boundary-Aware Adversarial Filtering For Reliable Diagnosis Under Extreme Class Imbalance

Yanxuan Yu

Michael S. Hughes

Julien Lee

Jiacheng Zhou

Andrew F. Laine

Penalty-Based Multi-Objective Optimization for Robust Data Splitting to Improve Consistency in Deep Learning Models

Kay C. Igwe

Soroush Arabshahi

Sree Kuntamukkala

Carmine Palermo

William J. Drew

Stephen Sastra

Michael A. Badgley

Yanping Sun

Kenneth P. Olive

Andrew F. Laine

2025

Deep learning for gadolinium contrast detects blood-brain barrier opening

Jia Guo

Cheng-Chia Wu

Andrew Francis Laine

Pin-Yu Lee

Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence

Srilaxmi Bearelly

Cassandra Areff

Matthew K. Hoffman

Daniel Sunko

Andrew F. Laine

Bin Choi

Hanna Rodriguez Coleman

Bianca Cordazzo Vargas

Chloe Y. Li

Jennifer Dawkins

Emily Amir

Lisa A. Hark

Whitney A. Booker

April Jauhal

Ronald J. Wapner

Liat Shenhav

Marginal structural models for quantifying the causal effects of exposure to ambient air pollution on progression of CT emphysema in the MESA Lung and MESA Air Studies

Daniel Malinsky

Meng Wang

Rachel Heise

Carrie L Pistenmaa

Eric A Hoffman

Lianne Sheppard

Adam A Szpiro

Andrew Laine

Elsa Angelini

Benjamin M Smith

Joel D Kaufman

R Graham Barr

Machine learning uncovers prognostically distinct myeloma cast nephropathy phenotypes not captured by standard risk stratication systems

Michael Hughes

Yiran Peng

Shikun Wang

Andrew Laine

Jai Radhakrishnan

Metodi Balev

Divaya Bhutani

Markus Mapara

Andrew Eisenberger

Suzanne Lentzsch

Rajshekhar Chakraborty

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI

Xinliu Zhong

Ruiying Liu

Emily S. Nichols

Xuzhe Zhang

Andrew F. Laine

Emma G. Duerden

Yun Wang

CT Emphysema Subtypes and Cardiac Hemodynamics Estimated on MRI: The Multi-Ethnic Study of Atherosclerosis COPD Study

Emilia A Hermann

Jesse X Yang

Elsa Angelini

Pallavi Balte

David A Bluemke

James Carr

Katja Derlin

Antoinette S Gomes

Mohammadali Habibi

Eric A Hoffman

Chris Johns

Steven M Kawut

David G Kiely

Andrew Laine

Joao A C Lima

Martin R Prince

Benjamin Smith

Jens Vogel-Claussen

Karol Watson

Jim M Wild

Andrew J Swift

R Graham Barr

Optimal feature selection for medical image fusion using deep learning with transformer

Disha Mohini Pathak

Tribhuwan Kumar Tewari

Siddharth Gupta

Mannudeep K. Kalra

Luca Saba

Andrew F. Laine

Jasjit S. Suri

Associations of Prepandemic Lung Function and Structure with COVID-19 Outcomes: The C4R Study

Pallavi P Balte

John S Kim

Yifei Sun

Nori Allen

Elsa Angelini

Alexander Arynchyn

R Graham Barr

Michael Blaha

Russell Bowler

Jeff Carr

Shelley A Cole

David Couper

Ryan T Demmer

Margaret Doyle

Mitchell Elkind

Raúl San José Estépar

Olga Garcia-Bedoya

Suresh Garudadri

Nadia N Hansel

Emilia A Hermann

Eric A Hoffman

Stephen M Humphries

Gary M Hunninghake

Robert Kaplan

Jerry A Krishnan

Andrew Laine

Joyce S Lee

David A Lynch

Barry Make

Kunihiro Matsushita

Will McKleroy

Yuan-I Min

Sneha N Naik

George O'Connor

Olivia O'Driscoll

Eyal Oren

Anna J Podolanczuk

Wendy S Post

Tess Pottinger

Elizabeth Regan

Annie Rusk

Mary Salvatore

David A Schwartz

Benjamin Smith

Daniela Sotres-Alvarez

Jason G Umans

Ramachandran S Vasan

George Washko

Sally Wenzel

Prescott Woodruff

Vanessa Xanthakis

Victor E Ortega

Elizabeth C Oelsner

Magnetic Resonance-assessed Dysanapsis and Airflow Obstruction in Late Adolescence

Lovinsky-Desir S

Zhang X

Zhang Y

Naik S

Chen W

Prince M

Dashnaw S

Jambawalikar SR

Laine AF

Barr RG

Shen W

Herbstman, J.

Smith, B. M.

Assessment of Airway-To-Lung Ratio on Cardiac CT: Agreement With Full-lung CT and Validation With Dysanapsis Endpoints: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) CT Harmonization Study

Naik, S.

Angelini, E. D.

Sun, Y.

Hoffman E. A.

Allen N. B.

Bertoni A.

Manichaikul, A. W.

Pankow, J. S.

Post W.

Watson, K. E.

Oelsner, E. C.

Barr, R. G. G.

Laine, A. F.

Smith, B. M.

Unsupervised Machine-learned Discovery of Quantitative Airway Tree Subtypes and Their Association With Chronic Obstructive Pulmonary Disease Endpoints: The Multi-Ethnic Study of Atherosclerosis Lung Study. American Journal of Respiratory and Critical Care

Naik S

Angelini ED

Sun Y

Hoffman EA

Allen NB

Bertoni A

Manichaikul AW

O'Driscoll O

Pankow JS

Post W

Watson KE

Laine A

Barr RGG

Smith BM

Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury

Mingyang Zang

Congli Zeng

David Lagier

Nan Leng

Kira Grogg

Gabriel Motta-Ribeiro

Andrew F. Laine

Tilo Winkler

Marcos F. Vidal Melo

Automated Airway Segmentation on Pulmonary MRI Via Unsupervised Domain Adaptation

X. Zhang

Y. Zhang

S.N. Naik

M.R. Prince

W. Chen

S.M. Dashnaw

S. Jambawalikar

S. Lovinsky-Desir

A.F. Laine

R.G. Barr

J. Herbstman

B.M. Smith

W. Shen

Harmonized Assessment and Quality Control of Quantitative Measures of Lung Structure on Pre-pandemic Cardiac and Lung Computed Tomography (CT) Scans for Large-scale Investigation of Risk of Long COVID-19

S. Naik

B.M. Smith

N.B. Allen

P. Balte

M.J. Blaha

M.J. Budoff

J.J.J. Carr

A.P. Carson

T.-K. Cheng

R. San Jose Estepar

E.A. Hoffman

S.M. Humphries

A. Kanaya

N.R. Kandula

D.A. Lynch

K. Matsushita

G.T. O'Connor

O. O'Driscoll

V.E. Ortega

T.D. Pottinger

D.A. Schwartz

G.R. Washko

S.E. Wenzel

V. Xanthakis

E.D. Angelini

A.F. Laine

E.C. Oelsner

R.G.G. Barr

Proteomics of CT Emphysema Subtypes in the General Population. The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study

DE Guzman

Y Sun

T Pottinger

W Post

AG Bertoni

NB Allen

WC Johnson

KE Watson

JS Pankow

AW Manichaikul

EA Hoffman

R Dubin

E Oelsner

E Angelini

A Laine

VE Ortega

RP Bowler

P Ganz

RGG Barr

Associations of pulmonary microvascular blood volume with per cent emphysema and CT emphysema subtypes in the community: the MESA Lung study

Emilia A Hermann

Amin Motahari

Eric A Hoffman

Yifei Sun

Norrina Allen

Elsa D Angelini

Alain G Bertoni

David A Bluemke

Sarah E Gerard

Junfeng Guo

David W Kaczka

Andrew Laine

Erin Michos

Prashant Nagpal

James S Pankow

Coralynn S Sack

Benjamin Smith

Karen Hinckley Stukovsky

Karol E Watson

Artur Wysoczanski

R Graham Barr

Baseline Modeling for Magnetic Resonance Spectroscopy (MRS) Using a Modified Temporal Convolution Network (mTCN)

Kay Chioma Igwe

Christopher J Wu

Shubh P. Mehta

Karl Landheer

Andrew F. Laine

Jia Guo

The Impact of State Space and Dimensionality on Pancreatic Ultrasound Tumor Segmentation

Kay Chioma Igwe

Soroush Arabshahi

Carmine Palermo

Stephen Sastra

Michael A. Badgley

Yanping Sun

Jia Guo

Kenneth P. Olive

Andrew Laine

Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study

Sneha N. Naik

Elsa D. Angelini

Eric A. Hoffman

Elizabeth C. Oelsner

R. Graham Barr

Benjamin M. Smith

Andrew F. Laine

Engineering Bacteria Swarm Patterns for Spatiotemporal Information Encoding

Tal Danino

Anjali DOSHI

Marian Shaw

Andrew Laine

Jia Guo

2024

Associations of pulmonary microvascular blood volume with per cent emphysema and CT emphysema subtypes in the community: the MESA Lung study

Emilia A Hermann

Amin Motahari

Eric A Hoffman

Yifei Sun

Norrina Allen

Elsa D Angelini

Alain G Bertoni

David A Bluemke

Sarah E Gerard

Junfeng Guo

David W Kaczka

Andrew Laine

Erin Michos

Prashant Nagpal

James S Pankow

Coralynn S Sack

Benjamin Smith

Karen Hinckley Stukovsky

Karol E Watson

Artur Wysoczanski

Graham Barr

MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation

Aaron Cao

Zongyu Li

Jordan Jomsky

Andrew F Laine

Jia Guo

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Publications

2026

Automatic MRI Detection and Grading of L-spine Intervertebral Disc Degeneration (IVDD) at 0.05 Tesla via Deep Learning

Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps

3-D ordinal regression CNN for opportunistic breast density grading on chest CT

Attention Mechanisms in UNet Variants for Medical Image Segmentation: A Comprehensive and State-of-the-Art Narrative Review

TumorCLIP: Lightweight Vision–Language Fusion for Explainable 2 MRI-Based Brain Tumor Classification

Optical Flow Components as Auxiliary Features for 3D Pancreatic Ductal Adenocarcinoma Tumor Segmentation

Boundary-Aware Adversarial Filtering For Reliable Diagnosis Under Extreme Class Imbalance

Penalty-Based Multi-Objective Optimization for Robust Data Splitting to Improve Consistency in Deep Learning Models

2025

Deep learning for gadolinium contrast detects blood-brain barrier opening

Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence

Marginal structural models for quantifying the causal effects of exposure to ambient air pollution on progression of CT emphysema in the MESA Lung and MESA Air Studies

Machine learning uncovers prognostically distinct myeloma cast nephropathy phenotypes not captured by standard risk stratication systems

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI

CT Emphysema Subtypes and Cardiac Hemodynamics Estimated on MRI: The Multi-Ethnic Study of Atherosclerosis COPD Study

Optimal feature selection for medical image fusion using deep learning with transformer

Associations of Prepandemic Lung Function and Structure with COVID-19 Outcomes: The C4R Study

Magnetic Resonance-assessed Dysanapsis and Airflow Obstruction in Late Adolescence

Assessment of Airway-To-Lung Ratio on Cardiac CT: Agreement With Full-lung CT and Validation With Dysanapsis Endpoints: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) CT Harmonization Study

Unsupervised Machine-learned Discovery of Quantitative Airway Tree Subtypes and Their Association With Chronic Obstructive Pulmonary Disease Endpoints: The Multi-Ethnic Study of Atherosclerosis Lung Study. American Journal of Respiratory and Critical Care

Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury

Automated Airway Segmentation on Pulmonary MRI Via Unsupervised Domain Adaptation

Harmonized Assessment and Quality Control of Quantitative Measures of Lung Structure on Pre-pandemic Cardiac and Lung Computed Tomography (CT) Scans for Large-scale Investigation of Risk of Long COVID-19

Proteomics of CT Emphysema Subtypes in the General Population. The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study

Associations of pulmonary microvascular blood volume with per cent emphysema and CT emphysema subtypes in the community: the MESA Lung study

Baseline Modeling for Magnetic Resonance Spectroscopy (MRS) Using a Modified Temporal Convolution Network (mTCN)

The Impact of State Space and Dimensionality on Pancreatic Ultrasound Tumor Segmentation

Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study

Engineering Bacteria Swarm Patterns for Spatiotemporal Information Encoding

2024

Associations of pulmonary microvascular blood volume with per cent emphysema and CT emphysema subtypes in the community: the MESA Lung study

MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation

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