Baowei Fei

发表

Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images

Jaydev P. Desai, James D. Dormer, Md. Fiaz Islam Bhuiyan, 2020, Medical Imaging: Image-Guided Procedures.

Renal biopsy under augmented reality guidance

Baowei Fei, Matthew Pfefferle, Sarah Shahub, 2020, Medical Imaging: Image-Guided Procedures.

3D segmentation of prostate ultrasound images using wavelet transform

Baowei Fei, Hamed Akbari, Xiaofeng Yang, 2011, Medical Imaging.

Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging

Dongsheng Wang, Guolan Lu, Zhuo Georgia Chen, 2014, Journal of biomedical optics.

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Gowtham Krishnan Murugesan, Joseph A. Maldjian, Baowei Fei, 2019, BrainLes@MICCAI.

A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, Tomography.

Abdominal muscle segmentation from CT using a convolutional neural network

James D. Dormer, Baowei Fei, Avneesh Chhabra, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning

Martin Halicek, James D. Dormer, Baowei Fei, 2020, Medical Imaging: Digital Pathology.

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images

Gustavo Marrero Callicó, Fred Godtliebsen, Himar Fabelo, 2020, Medical Imaging: Digital Pathology.

Sequential vessel segmentation via deep channel attention network

Song Ding, Baowei Fei, Yisong Lv, 2020, Neural Networks.

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

Guolan Lu, Martin Halicek, Baowei Fei, 2017, Journal of biomedical optics.

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, bioRxiv.

Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks

Gustavo Marrero Callicó, Fred Godtliebsen, Himar Fabelo, 2020, Sensors.

Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, Florida, United States, 11-16 February 2017

Robert J. Webster, Baowei Fei, 2017, Medical Imaging: Image-Guided Procedures.

Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020

Cristian A. Linte, Baowei Fei, 2020, Medical Imaging: Image-Guided Procedures.

STAN-CT: Standardizing CT Image using Generative Adversarial Network pdf

Jin Chen, Jie Zhang, Baowei Fei, 2020, ArXiv.

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas using Deep Learning and MRI

Ben Wagner, Joseph A. Maldjian, Baowei Fei, 2019, bioRxiv.

Deformable registration of histological cancer margins to gross hyperspectral images using demons

Xu Wang, Zhuo Georgia Chen, Baowei Fei, 2018, Medical Imaging.

In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction

Martin Halicek, Baowei Fei, Ling Ma, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications

Himar Fabelo, Samuel Ortega, Gustavo M. Callico, 2020, Multimedia Information Retrieval.

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Chandan Ganesh, Sahil Nalawade, Ben Wagner, 2019, bioRxiv.

Incorporating minimal user input into deep-learning-based image segmentation

Martin Halicek, James D. Dormer, Baowei Fei, 2020, Medical Imaging: Image Processing.

Phase Asymmetry Ultrasound Despeckling With Fractional Anisotropic Diffusion and Total Variation

Binjie Qin, Baowei Fei, Bin Hu, 2019, IEEE Transactions on Image Processing.

Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens

Samuel Ortega, Himar Fabelo, Martin Halicek, 2019, Journal of medical imaging.

Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples

Gustavo M. Callico, Baowei Fei, Martin T. Halicek, 2020 .

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI

Gowtham Krishnan Murugesan, Joseph A. Maldjian, Baowei Fei, 2019, BrainLes@MICCAI.

Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging

James D. Dormer, Baowei Fei, Ximing Zhou, 2020, BiOS.

Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection

Martin Halicek, Baowei Fei, Maysam Shahedi, 2020, Medical Imaging: Image-Guided Procedures.

Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images

Martin Halicek, Baowei Fei, Maysam Shahedi, 2020, Medical Imaging: Digital Pathology.

Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net

Martin Halicek, James D. Dormer, Baowei Fei, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

Guolan Lu, Zhuo Georgia Chen, Xulei Qin, 2019, Visual Computing for Industry, Biomedicine, and Art.

A New Technique for Targeted Prostate Cancer Biopsies

Baowei Fei, 2019 .

Augmented reality-assisted biopsy of soft tissue lesions

James D. Dormer, Baowei Fei, Maysam Shahedi, 2020, Medical Imaging: Image-Guided Procedures.

Hyperspectral imaging in medical applications

Baowei Fei, B. Fei, 2020 .

Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging

Guolan Lu, Zhuo Georgia Chen, Baowei Fei, 2014, Medical Imaging.

Segmentation of uterus and placenta in MR images using a fully convolutional neural network

Yin Xi, James D. Dormer, Baowei Fei, 2020, Medical Imaging.

A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme

Baowei Fei, Hesheng Wang, B. Fei, 2009, Medical Image Anal..

Siamese neural networks for the classification of high-dimensional radiomic features

Deji Chen, James D. Dormer, Baowei Fei, 2020, Medical Imaging.

Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate

David L. Wilson, Baowei Fei, Jasjit S. Suri, 2005 .

Development of a new polarized hyperspectral imaging microscope

Martin Halicek, Baowei Fei, James Dormer, 2020, BiOS.

Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology

Gustavo Marrero Callicó, Himar Fabelo, Samuel Ortega, 2020, Medical Imaging: Digital Pathology.

A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases

Xiabi Liu, Baowei Fei, Ling Ma, 2020, Medical & Biological Engineering & Computing.

Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks

Martin Halicek, James V Little, Amy Y Chen, 2018, BiOS.

A complex dual-modality kidney phantom for renal biopsy studies

James D. Dormer, Baowei Fei, Matthew Pfefferle, 2020, Medical Imaging.

Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning

Sahil Nalawade, Ben Wagner, Joseph A Maldjian, 2019, Journal of medical imaging.

Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set

Xulei Qin, Baowei Fei, Luma V. Halig, 2013, Medical Imaging.

Graph-convolutional-network-based interactive prostate segmentation in MR images.

Zhang Chen, Baowei Fei, Zhiqiang Tian, 2020, Medical physics.

Domain and task specific multispectral band selection (Conference Presentation)

Klaus H. Maier-Hein, Lena Maier-Hein, Anant Suraj Vemuri, 2018 .