M. Bell

发表

System integration and preliminary in-vivo experiments of a robot for ultrasound guidance and monitoring during radiotherapy

Peter Kazanzides, Yin Zhang, Iulian Iordachita, 2015, 2015 International Conference on Advanced Robotics (ICAR).

In vivo liver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe

P. Evans, J. Bamber, M. Bell, 2012, Physics in medicine and biology.

Robust Short-Lag Spatial Coherence Imaging

Muyinatu A. Lediju Bell, Arun Asokan Nair, T. Tran, 2018, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Coherence-Based Beamforming Increases the Diagnostic Certainty of Distinguishing Fluid from Solid Masses in Breast Ultrasound Exams.

Muyinatu A. Lediju Bell, Alycen Wiacek, Kelly Myers, 2020, Ultrasound in medicine & biology.

Coherence-based beamforming improves the diagnostic certainty of breast ultrasound exams

Lisa A. Mullen, M. Bell, K. Myers, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Ultrasound Probe Reference Frame PA Signal Background Noise Compounding In-plane frame Average all regions Ultrasound Probe Reference Frame PA Signal Background Noise Compounding

E. Boctor, Hyun-Jae Kang, M. Bell, 2014 .

of wave simulations for patient-specific planning prior to transcranial photoacoustic-guided neurosurgery

Michelle T. Graham, Reese A. Dunne, M. Bell, 2022 .

A beamformer-independent method to predict photoacoustic visual servoing system failure from a single image frame

Eduardo A. Gonzalez, M. Bell, J. Chrispin, 2021, 2021 IEEE International Ultrasonics Symposium (IUS).

Identifying Optimal da Vinci Tool Orientations for Photoacoustic Guided Hysterectomies

M. Bell, M. Allard, J. Shubert, 2017 .

A phantom-based analysis for tracking intra-fraction pancreatic tumor motion by ultrasound imaging during radiation therapy

P. Kazanzides, K. Ding, Junghoon Lee, 2022, Frontiers in Oncology.

Fund Black scientists

L. Setton, N. Chesler, E. Cosgriff-Hernandez, 2021, Cell.

4d Treatment Planning Workshop 2015 7 Th International Workshop for Planning and Delivery of Radiotherapy to Non-static Targets

V. D. Luca, J. Schnabel, W. Niessen, 2015 .

COHERENCE METRICS FOR READER-INDEPENDENT DIFFERENTIATION OF CYSTIC FROM SOLID BREAST MASSES IN ULTRASOUND IMAGES

M. Bell, K. Myers, E. Ambinder, 2022, Ultrasound in medicine & biology.

Deep Learning in Biomedical Optics

Jason T. Smith, X. Intes, N. Durr, 2021, Lasers in surgery and medicine.

Spectral Gap Extrapolation and Radio Frequency Interference Suppression Using 1D UNets

T. Tran, L. Nguyen, M. Bell, 2021, 2021 IEEE Radar Conference (RadarConf21).

Photoacoustic differentiation of cortical from cancellous bone in the lumbar vertebrae of an intact human cadaver to prevent bone breaches during spinal fusion surgeries

Eduardo A. Gonzalez, Amit Jain, M. Bell, 2021 .

Combined Ultrasound and Photoacoustic Image Guidance of Spinal Pedicle Cannulation Demonstrated With Intact Ex Vivo Specimens

Amit Jain, Muyinatu A. Lediju Bell, Eduardo A. Gonzalez, 2020, IEEE Transactions on Biomedical Engineering.

Spatial Coherence Beamforming With Multi-Line Transmission to Enhance the Contrast of Coherent Structures in Ultrasound Images Degraded by Acoustic Clutter

G. Matrone, A. Ramalli, M. Bell, 2021, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Challenge on Ultrasound Beamforming with Deep Learning (CUBDL)

Dongwoon Hyun, Jiaqi Huang, Muyinatu A. Lediju Bell, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Coherence beamforming and its applications to the difficult-to-image patient

Dongwoon Hyun, Gregg E. Trahey, Nick Bottenus, 2017, 2017 IEEE International Ultrasonics Symposium (IUS).

Comparison of compressional and elastic wave simulations for patient-specific planning prior to transcranial photoacoustic-guided neurosurgery

Muyinatu A. Lediju Bell, Michelle T. Graham, Reese A. Dunne, 2021, Journal of biomedical optics.

Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning

Muyinatu A. Lediju Bell, Austin Reiter, Derek Allman, 2018, IEEE Transactions on Medical Imaging.

Photoacoustic image guidance for robot-assisted skull base surgery

Peter Kazanzides, Hyun-Jae Kang, Emad Boctor, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

COVID-19 feature detection with deep neural networks trained on simulated lung ultrasound B-mode images

M. Bell, Lingyi Zhao, T. Fong, 2022, 2022 IEEE International Ultrasonics Symposium (IUS).

Toward Standardized Acoustic Radiation Force (ARF)-Based Ultrasound Elasticity Measurements With Robotic Force Control

Peter Kazanzides, Iulian Iordachita, Muyinatu A. Lediju Bell, 2016, IEEE Transactions on Biomedical Engineering.

Improved visualization of endocardial borders with Short-Lag Spatial Coherence imaging of fundamental and harmonic ultrasound data

Gregg E. Trahey, Muyinatu A. Lediju Bell, Jeremy J. Dahl, 2012, 2012 IEEE International Ultrasonics Symposium.

In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions

Eduardo Gonzalez, Jinxin Dong, Alycen Wiacek, 2020, IEEE Transactions on Medical Imaging.

Photoacoustic Spatial Coherence Theory and Applications to Coherence-Based Image Contrast and Resolution

Muyinatu A. Lediju Bell, Michelle T. Graham, M. Bell, 2020, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

In vivo photoacoustic imaging of major blood vessels in the pancreas and liver during surgery

Kelley M Kempski, Alycen Wiacek, Michelle Graham, 2019, Journal of biomedical optics.

GPU implementation of photoacoustic short-lag spatial coherence imaging for improved image-guided interventions

Muyinatu A Lediju Bell, Eduardo A. Gonzalez, Eduardo A Gonzalez, 2020, Journal of biomedical optics.

Exploring the effects of transducer models when training convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images

Muyinatu A. Lediju Bell, Austin Reiter, Derek Allman, 2018, BiOS.

A machine learning method to identify and remove reflection artifacts in photoacoustic channel data

Muyinatu A. Lediju Bell, Austin Reiter, Derek Allman, 2017, 2017 IEEE International Ultrasonics Symposium (IUS).

Transurethral light delivery overcomes a majority of the stated limitations with transrectal and interstitial light delivery

E. Boctor, D. Song, M. Bell, 2015 .

Roadmap on Deep Learning for Microscopy.

Juan C. Caicedo, Kevin de Haan, Isaac C. D. Lenton, 2023, ArXiv.

Ultrasound Imaging with Flexible Array Transducer for Pancreatic Cancer Radiation Therapy

K. Ding, Junghoon Lee, M. Bell, 2023, Cancers.

Predicting Generalized Contrast-to-Noise Ratios in Frame-Averaged Photoacoustic Images

Mardava R. Gubbi, M. Bell, 2022, 2022 IEEE International Ultrasonics Symposium (IUS).

Distinguishing fluid and solid breast masses with fundamental and harmonic amplitude- and coherence-based ultrasound beamforming

M. Bell, K. Myers, Arunima Sharma, 2022, 2022 IEEE International Ultrasonics Symposium (IUS).

A method to estimate the spatial coherence of photoacoustic channel data without access to channel data

Mardava R. Gubbi, M. Bell, K. Kempski, 2021, 2021 IEEE International Ultrasonics Symposium (IUS).

Generalized contrast-to-noise ratio as a metric of photoacoustic image quality

Michelle T. Graham, Mardava R. Gubbi, M. Bell, 2021 .

Theoretical predictions of the generalized contrast-to-noise ratio for photoacoustic images

Muyinatu A. Lediju Bell, Mardava R. Gubbi, M. Bell, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Beamforming with deep learning from single plane wave RF data

Muyinatu A. Lediju Bell, Zehua Li, Alycen Wiacek, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Investigation of acoustic windows for photoacoustic imaging of intracranial blood vessels

Muyinatu A. Lediju Bell, Michelle T. Graham, Francis X. Creighton, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Photoacoustic imaging for surgical guidance: Principles, applications, and outlook.

Muyinatu A. Lediju Bell, M. Bell, 2020 .

CohereNet: A Deep Learning Architecture for Ultrasound Spatial Correlation Estimation and Coherence-Based Beamforming

Alycen Wiacek, Muyinatu A Lediju Bell, Eduardo Gonzalez, 2020, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Force-controlled ultrasound robot for consistent tissue pre-loading: Implications for acoustic radiation force elasticity imaging

Peter Kazanzides, Iulian Iordachita, Muyinatu A. Lediju Bell, 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

Quantifying the impact of breast density on the lag-one coherence of hypoechoic masses

M. Bell, K. Myers, E. Ambinder, 2021, 2021 IEEE International Ultrasonics Symposium (IUS).

RECONSTRUCTION-FREE DEEP CONVOLUTIONAL NEURAL NETWORKS FOR PARTIALLY OBSERVED IMAGES

Trac D. Tran, Sang Peter Chin, Muyinatu A. Lediju Bell, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

The 2014 liver ultrasound tracking benchmark

O Somphone, J Rühaak, C Grozea, 2015, Physics in medicine and biology.

Feasibility of photoacoustic-guided teleoperated hysterectomies

Joshua Shubert, Muyinatu A Lediju Bell, Margaret Allard, 2018, Journal of medical imaging.

System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy

Peter Kazanzides, Yin Zhang, Iulian Iordachita, 2017, IEEE Transactions on Biomedical Engineering.

Feasibility Study of Real Time Ultrasound Intrafractional Monitoring in Liver Stereotactic Body Radiation Therapy Underactive Breathing Control

P. Kazanzides, K. Ding, I. Iordachita, 2015 .

In vivo reproducibility of robotic probe placement for an integrated US-CT image-guided radiation therapy system

Peter Kazanzides, Iulian Iordachita, Muyinatu A. Lediju Bell, 2014, Medical Imaging.

Photoacoustic based visual servoing of needle tips to improve biopsy on obese patients

Muyinatu A. Lediju Bell, Joshua Shubert, M. Bell, 2017, 2017 IEEE International Ultrasonics Symposium (IUS).

A Deep Learning Based Alternative to Beamforming Ultrasound Images

Austin Reiter, Trac D. Tran, Muyinatu A. Lediju Bell, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A cooperatively controlled robot for ultrasound monitoring of radiation therapy

Peter Kazanzides, Iulian Iordachita, Muyinatu A. Lediju Bell, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Binary and Random Inputs to Rapidly Identify Overfitting of Deep Neural Networks Trained to Output Ultrasound Images

Jiaxin Zhang, M. Bell, Alycen Wiacek, 2022, 2022 IEEE International Ultrasonics Symposium (IUS).

Dual-wavelength photoacoustic imaging for guidance of hysterectomy procedures

Muyinatu A. Lediju Bell, Alycen Wiacek, Karen C. Wang, 2020, BiOS.

Feasibility study of ultrasound imaging for stereotactic body radiation therapy with active breathing coordinator in pancreatic cancer

Muyinatu A. Lediju Bell, Peter Kazanzides, Iulian Iordachita, 2017, Journal of applied clinical medical physics.

A GPU approach to real-time coherence-based photoacoustic imaging and its application to photoacoustic visual servoing

Muyinatu A. Lediju Bell, Eduardo A. Gonzalez, Eduardo Gonzalez, 2020, BiOS.

Spatial Coherence Approaches to Distinguish Suspicious Mass Contents in Fundamental and Harmonic Breast Ultrasound Images

M. Bell, E. Oluyemi, Emily B. Ambinder, 2023, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Deep learning in vivo catheter tip locations for photoacoustic-guided cardiac interventions

Mardava R. Gubbi, M. Bell, Fabrizio Assis, 2023, Journal of biomedical optics.