Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 85)

H-INDEX

(FIVE YEARS 2)

Published By SPIE

9781510634015, 9781510634022

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Automatic detection and counting of retina cell nuclei using deep learning

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2567454 ◽

2020 ◽

Author(s):

Seyed Mohammad Hadi Hosseini ◽

Hao Chen ◽

Monica M. Jablonski

Keyword(s):

Deep Learning ◽

Automatic Detection ◽

Cell Nuclei ◽

Detection And Counting

Download Full-text

Front Matter: Volume 11317

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2570187 ◽

2020 ◽

Keyword(s):

Matter Volume

Download Full-text

Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2552150 ◽

2020 ◽

Author(s):

Anando Sen ◽

Charles V. Kingsley ◽

Jorge de la Cerda ◽

F. William Schuler ◽

Abdallah S. R. Mohamed ◽

...

Keyword(s):

Pilot Study ◽

Imaging Modalities ◽

Multiple Imaging

Download Full-text

Rapid and accurate identification of newly emerging infectious pathogens using bio-optical sensor in clinical specimens (Conference Presentation)

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2548439 ◽

2020 ◽

Author(s):

Bonhan Koo ◽

Yong Shin

Keyword(s):

Optical Sensor ◽

Accurate Identification ◽

Clinical Specimens

Download Full-text

An implementation of data assimilation techniques for transmural visualization of action potential propagation in cardiac tissue

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2550467 ◽

2020 ◽

Author(s):

Christopher Beam ◽

Cristian A. Linte ◽

Niels F. Otani

Keyword(s):

Data Assimilation ◽

Action Potential ◽

Cardiac Tissue ◽

Action Potential Propagation

Download Full-text

Application of a novel ultra-high resolution multi-detector CT in quantitative imaging of trabecular microstructure

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2552385 ◽

2020 ◽

Author(s):

Gengxin Shi ◽

Shalini Subramanian ◽

Qian Cao ◽

Shadpour Demehri ◽

Jeffrey H. Siewerdsen ◽

...

Keyword(s):

High Resolution ◽

Quantitative Imaging ◽

Trabecular Microstructure

Download Full-text

Noise reduction in the inverse solution for one-dimensional cardiac active stress reconstruction

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2550600 ◽

2020 ◽

Author(s):

Vignesh Venkataramani ◽

Minyao Li ◽

Cristian A. Linte ◽

Niels F. Otani

Keyword(s):

Noise Reduction ◽

Inverse Solution ◽

Active Stress ◽

One Dimensional

Download Full-text

Deep semantic segmentation of Diabetic Retinopathy lesions: what metrics really tell us

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2549221 ◽

2020 ◽

Author(s):

Pedro Furtado

Keyword(s):

Diabetic Retinopathy ◽

Semantic Segmentation

Download Full-text

Quantitative assessment of weight-bearing fracture biomechanics using extremity cone-beam CT

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2549768 ◽

2020 ◽

Author(s):

Stephen Z. Liu ◽

Qian Cao ◽

Greg M. Osgood ◽

Jeffrey H. Siewerdsen ◽

J. Webster Stayman ◽

...

Keyword(s):

Quantitative Assessment ◽

Cone Beam Ct ◽

Weight Bearing ◽

Cone Beam

Download Full-text

Automated computer-based enumeration of acellular capillaries for assessment of diabetic retinopathy

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2543400 ◽

2020 ◽

Author(s):

Mihran Tuceryan ◽

Anish N. Hemmady ◽

Craig Schebler ◽

Alpha Alex ◽

Ashay D. Bhatwadekar

Keyword(s):

Diabetic Retinopathy ◽

Computer Based ◽

Acellular Capillaries

Download Full-text

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional ImagingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Automatic detection and counting of retina cell nuclei using deep learning

Front Matter: Volume 11317

Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse

Rapid and accurate identification of newly emerging infectious pathogens using bio-optical sensor in clinical specimens (Conference Presentation)

An implementation of data assimilation techniques for transmural visualization of action potential propagation in cardiac tissue

Application of a novel ultra-high resolution multi-detector CT in quantitative imaging of trabecular microstructure

Noise reduction in the inverse solution for one-dimensional cardiac active stress reconstruction

Deep semantic segmentation of Diabetic Retinopathy lesions: what metrics really tell us

Quantitative assessment of weight-bearing fracture biomechanics using extremity cone-beam CT

Automated computer-based enumeration of acellular capillaries for assessment of diabetic retinopathy

Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Latest Publications