Richard Laforest

Richard Laforest

Washington University in St. Louis

H-index: 55

North America-United States

About Richard Laforest

Richard Laforest, With an exceptional h-index of 55 and a recent h-index of 30 (since 2020), a distinguished researcher at Washington University in St. Louis,

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

DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT

MIRD Pamphlet No. 29: MIRDy90—A 90Y Research Microsphere Dosimetry Tool

Test-Retest Repeatability of Patlak Slopes versus Standardized Uptake Values for Hypermetabolic Lesions and Normal Organs in an Oncologic PET/CT Population

Very-low-density lipoprotein triglyceride and free fatty acid plasma kinetics in women with high or low brown adipose tissue volume and overweight/obesity

Patlak Slope versus Standardized Uptake Value Image Quality in an Oncologic PET/CT Population: A Prospective Cross-Sectional Study

Cure of disseminated human lymphoma with [177Lu] Lu-ofatumumab in a preclinical model

Need for objective task‐based evaluation of deep learning‐based denoising methods: a study in the context of myocardial perfusion SPECT

Chemokine Receptor 2 Is A Theranostic Biomarker for Abdominal Aortic Aneurysms

Richard Laforest Information

University

Position

___

Citations(all)

11605

Citations(since 2020)

3089

Cited By

9818

hIndex(all)

55

hIndex(since 2020)

30

i10Index(all)

155

i10Index(since 2020)

81

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Top articles of Richard Laforest

Title

Journal

Author(s)

Publication Date

DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT

IEEE Transactions on Radiation and Plasma Medical Sciences

Md Ashequr Rahman

Zitong Yu

Richard Laforest

Craig K Abbey

Barry A Siegel

...

2024/3/25

MIRD Pamphlet No. 29: MIRDy90—A 90Y Research Microsphere Dosimetry Tool

Journal of Nuclear Medicine

Harry Marquis

Juan C Ocampo Ramos

Lukas M Carter

Pat Zanzonico

Wesley E Bolch

...

2024/2/22

Test-Retest Repeatability of Patlak Slopes versus Standardized Uptake Values for Hypermetabolic Lesions and Normal Organs in an Oncologic PET/CT Population

Semra Ince

Richard Laforest

Saeed Ashrafinia

Anne M Smith

Tyler J Fraum

...

2024/1/16

Very-low-density lipoprotein triglyceride and free fatty acid plasma kinetics in women with high or low brown adipose tissue volume and overweight/obesity

Cell Reports Medicine

Maria Chondronikola

Jun Yoshino

Raja Ramaswamy

Joseph Daniel Giardina

Richard Laforest

...

2024/1/16

Patlak Slope versus Standardized Uptake Value Image Quality in an Oncologic PET/CT Population: A Prospective Cross-Sectional Study

Diagnostics

Semra Ince

Richard Laforest

Malak Itani

Vikas Prasad

Saeed Ashrafinia

...

2024/4/24

Cure of disseminated human lymphoma with [177Lu] Lu-ofatumumab in a preclinical model

Journal of Nuclear Medicine

Kyuhwan Shim

Mark S Longtine

Diane S Abou

Mark J Hoegger

Richard S Laforest

...

2023/4/1

Need for objective task‐based evaluation of deep learning‐based denoising methods: a study in the context of myocardial perfusion SPECT

Medical physics

Zitong Yu

Md Ashequr Rahman

Richard Laforest

Thomas H Schindler

Robert J Gropler

...

2023/7

Chemokine Receptor 2 Is A Theranostic Biomarker for Abdominal Aortic Aneurysms

medRxiv

Santiago Elizondo-Benedetto

Sergio Sastriques-Dunlop

Lisa Detering

Batool Arif

Gyu Seong Heo

...

2023/11/7

MIRD Synopsis for Dosimetry in Radiopharmaceutical Therapies: A Case Study for Currently Approved 177Lu Therapies

Carlos Uribe

Roger Howell

Adam Kesner

Vikram Adhikarla

Wesley Bolch

...

2023/6/1

Optimal temporal design of dynamic PET imaging for multi-organ systems kinetic analysis

Suya Li

Richard Laforest

Timothy Whitehead

Yuan-Chuan Tai

Kooresh Shoghi

2023/6/1

Ultrasmall, elementary and highly translational nanoparticle X-ray contrast media from amphiphilic iodinated statistical copolymers

Acta Pharmaceutica Sinica B

Lu Su

Kellie S Dalby

Hannah Luehmann

Sussana A Elkassih

Sangho Cho

...

2023/4/1

Chemokine receptor type 2 targeted PET imaging of human atherosclerosis

Yongjian Liu

Gyu Seong Heo

Debbie Sultan

Lisa Detering

Hannah Luehmann

...

2023/6/1

Initial Results of a Prototype AWSM-PET Device for Augmented Whole-body PET Imaging

Y Chen

M Hambdi

S Komarov

RA Mintzer

S Cho

...

2023/11/4

A list-mode multi-energy window low-count SPECT reconstruction method for isotopes with multiple emission peaks

EJNMMI physics

Md Ashequr Rahman

Zekun Li

Zitong Yu

Richard Laforest

Daniel LJ Thorek

...

2023/6/22

Long-term test-retest repeatability of PET/MR attenuation correction in longitudinal amyloid brain imaging: impact of software and hardware upgrades

Chunwei Ying

Yasheng Chen

Shaney Flores

Richard Laforest

Tammie Benzinger

...

2023/6/1

Observer-study-based approaches to quantitatively evaluate the realism of synthetic medical images

Physics in Medicine & Biology

Ziping Liu

Scott Wolfe

Zitong Yu

Richard Laforest

Joyce C Mhlanga

...

2023/3/21

Joint regional uptake quantification of Thorium-227 and Radium-223 using a multiple-energy-window projection-domain quantitative SPECT method

arXiv preprint arXiv:2305.17117

Zekun Li

Nadia Benabdallah

Richard Laforest

Richard L Wahl

Daniel LJ Thorek

...

2023/5/26

Self-Supervised learning framework to generate preclinical Standard-Count PET from Low-Count PET and multi-objective task-based performance evaluation

K Dutta

R Laforest

KI Shoghi

2023/11/4

Development of an AWSM-PET Device for Augmented Whole-body PET Imaging

Yunlai Chen

Mahdhoub Hamdi

Sergey Komarov

Robert Mintzer

Sanghee Cho

...

2023/6/1

Self-Supervised learning framework for generating quantitative Standard-Count PET from Low-Count PET realizations

Kaushik Dutta

Richard Laforest

Kooresh Shoghi

2023/6/1

See List of Professors in Richard Laforest University(Washington University in St. Louis)