Mohammad Haft-Javaherian

About Mohammad Haft-Javaherian

Mohammad Haft-Javaherian, With an exceptional h-index of 14 and a recent h-index of 10 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Applied Machine Learning, Computer Vision, Medical Image Analysis, Biomedical Image Analysis.

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

Segmentation of anatomical layers and imaging artifacts in intravascular polarization sensitive optical coherence tomography using attending physician and boundary cardinality …

Vascular oxidative stress causes neutrophil arrest in brain capillaries, leading to decreased cerebral blood flow and contributing to memory impairment in a mouse model of …

A multivariate network analysis of ring-and diffuse-porous tree xylem vasculature segmented by convolutional neural networks

VEGF signalling causes stalls in brain capillaries and reduces cerebral blood flow in Alzheimer’s mice

Multi-object segmentation of anatomical layers in intravascular polarization-sensitive optical coherence tomography using convolutional neural networks

High fat diet worsens Alzheimer’s disease-related behavioral abnormalities and neuropathology in APP/PS1 mice, but not by synergistically decreasing cerebral blood flow

A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology

A pilot study investigating the effects of voluntary exercise on capillary stalling and cerebral blood flow in the APP/PS1 mouse model of Alzheimer’s disease

Mohammad Haft-Javaherian Information

University

Position

Postdoctoral Research Fellow at HMS &

Citations(all)

910

Citations(since 2020)

782

Cited By

400

hIndex(all)

14

hIndex(since 2020)

10

i10Index(all)

15

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Mohammad Haft-Javaherian Skills & Research Interests

Applied Machine Learning

Computer Vision

Medical Image Analysis

Biomedical Image Analysis

Top articles of Mohammad Haft-Javaherian

Segmentation of anatomical layers and imaging artifacts in intravascular polarization sensitive optical coherence tomography using attending physician and boundary cardinality …

Biomedical Optics Express

2024/3/1

Vascular oxidative stress causes neutrophil arrest in brain capillaries, leading to decreased cerebral blood flow and contributing to memory impairment in a mouse model of …

bioRxiv

2023/2/15

A multivariate network analysis of ring-and diffuse-porous tree xylem vasculature segmented by convolutional neural networks

bioRxiv

2023/1/11

Mohammad Haft-Javaherian
Mohammad Haft-Javaherian

H-Index: 10

Nozomi Nishimura
Nozomi Nishimura

H-Index: 27

VEGF signalling causes stalls in brain capillaries and reduces cerebral blood flow in Alzheimer’s mice

Brain

2022/4/1

Multi-object segmentation of anatomical layers in intravascular polarization-sensitive optical coherence tomography using convolutional neural networks

2021/3/5

High fat diet worsens Alzheimer’s disease-related behavioral abnormalities and neuropathology in APP/PS1 mice, but not by synergistically decreasing cerebral blood flow

Scientific reports

2020/6/18

A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology

2020

A pilot study investigating the effects of voluntary exercise on capillary stalling and cerebral blood flow in the APP/PS1 mouse model of Alzheimer’s disease

PLoS One

2020/8/28

Mohammad Haft-Javaherian
Mohammad Haft-Javaherian

H-Index: 10

Muhammad Ali
Muhammad Ali

H-Index: 1

Oliver Bracko
Oliver Bracko

H-Index: 11

Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice

Journal of Cerebral Blood Flow & Metabolism

2020/7

Oliver Bracko
Oliver Bracko

H-Index: 11

Muhammad Ali
Muhammad Ali

H-Index: 1

Mohammad Haft-Javaherian
Mohammad Haft-Javaherian

H-Index: 10

See List of Professors in Mohammad Haft-Javaherian University(Massachusetts Institute of Technology)

Co-Authors

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