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Journal Articles
- 2024
- [j16]Ling Ma, Qiliang Fan, Zhiqiang Tian, Lizhi Liu, Baowei Fei:
A novel Residual and Gated Network for prostate segmentation on MR images. Biomed. Signal Process. Control. 87(Part A): 105508 (2024) - 2020
- [j15]Ling Ma, Xiabi Liu, Baowei Fei:
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical Biol. Eng. Comput. 58(5): 1015-1029 (2020) - [j14]Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, Baowei Fei, Yueqi Zhu, Binjie Qin:
Sequential vessel segmentation via deep channel attention network. Neural Networks 128: 172-187 (2020) - [j13]Samuel Ortega, Martin T. Halicek, Himar Fabelo, Rafael Camacho, Maria De La Luz Plaza, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei:
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors 20(7): 1911 (2020) - [j12]Kunqiang Mei, Bin Hu, Baowei Fei, Binjie Qin:
Phase Asymmetry Ultrasound Despeckling With Fractional Anisotropic Diffusion and Total Variation. IEEE Trans. Image Process. 29: 2845-2859 (2020) - 2019
- [j11]Binjie Qin, Mingxin Jin, Dongdong Hao, Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding, Jun Zhao, Baowei Fei:
Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms. Pattern Recognit. 87: 38-54 (2019) - [j10]Himar Fabelo, Martin T. Halicek, Samuel Ortega, Maysam Shahedi, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, Carlos Espino Palma, Mariano Márquez, María Hernández, David Carrera, Jesús Morera, Gustavo Marrero Callicó, Roberto Sarmiento, Baowei Fei:
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors 19(4): 920 (2019) - [j9]Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen, Baowei Fei:
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - 2017
- [j8]Rufeng Li, Yibei Wang, Hong Xu, Baowei Fei, Binjie Qin:
Micro-Droplet Detection Method for Measuring the Concentration of Alkaline Phosphatase-Labeled Nanoparticles in Fluorescence Microscopy. Sensors 17(11): 2685 (2017) - 2016
- [j7]Robert Pike, Guolan Lu, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging. IEEE Trans. Biomed. Eng. 63(3): 653-663 (2016) - [j6]Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei:
Superpixel-Based Segmentation for 3D Prostate MR Images. IEEE Trans. Medical Imaging 35(3): 791-801 (2016) - 2013
- [j5]Xiaofeng Yang, Baowei Fei:
Research and applications: Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET. J. Am. Medical Informatics Assoc. 20(6): 1037-1045 (2013) - 2012
- [j4]John N. Mafi, Baowei Fei, Sharon Roble, Anthony Dota, Prashanth Katrapati, Hiram G. Bezerra, Hesheng Wang, Wei Wang, Les Ciancibello, Marco A. Costa, Daniel I. Simon, Carl E. Orringer, Robert Gilkeson:
Assessment of Coronary Artery Calcium Using Dual-Energy Subtraction Digital Radiography. J. Digit. Imaging 25(1): 129-136 (2012) - 2009
- [j3]Hesheng Wang, Baowei Fei:
A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme. Medical Image Anal. 13(2): 193-202 (2009) - 2003
- [j2]Baowei Fei, Jeffrey L. Duerk, Nakiel T. Boll, Jonathan S. Lewin, David L. Wilson:
Slice to Volume Registration and its Potential Application to Interventional MRI Guided Radiofrequency Thermal Ablation of Prostate Cancer. IEEE Trans. Medical Imaging 22(4): 515-525 (2003) - 2001
- [j1]Baowei Fei, Wan Sing Ng, Sunita Chauhan, Chee-Keong Kwoh:
The safety issues of medical robotics. Reliab. Eng. Syst. Saf. 73(2): 183-192 (2001)
Conference and Workshop Papers
- 2023
- [c102]James Huang, Quyen N. Do, Maysam Shahedi, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. Computer-Aided Diagnosis 2023 - [c101]Patric Bettati, Baowei Fei:
An advanced system with advanced user interfaces for image-guided intervention applications. Image-Guided Procedures 2023 - [c100]Kexin Hao, Annan Cai, Xingyu Feng, Ling Ma, Jingwen Zhu, Murong Wang, Yun Zhang, Baowei Fei:
Lung nodule false positive reduction using a central attention convolutional neural network on imbalanced data. Image-Guided Procedures 2023 - [c99]Kelden Pruitt, Brett Johnson, Jeffrey Gahan, Ling Ma, Baowei Fei:
A high-speed hyperspectral laparoscopic imaging system. Image-Guided Procedures 2023 - [c98]James Huang, Maysam Shahedi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Topography-based feature extraction of the human placenta from prenatal MR images. Image Processing 2023 - 2022
- [c97]Md. Selim, Jie Zhang, Baowei Fei, Matthew A. Lewis, Guo-Qiang Zhang, Jin Chen:
UDA-CT: A General Framework for CT Image Standardization. BIBM 2022: 1698-1701 - [c96]Usamah N. Chaudhary, Ka'Toria N. Leitch, Avneesh Chhabra, Ajay Kohli, Baowei Fei:
Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c95]Maysam Shahedi, James D. Dormer, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Automatic segmentation of uterine cavity and placenta on MR images using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c94]Ka'Toria N. Leitch, Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Baowei Fei:
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features. Computer-Aided Diagnosis 2022 - [c93]Ka'Toria N. Leitch, Maysam Shahedi, James D. Dormer, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. Computer-Aided Diagnosis 2022 - [c92]Patric Bettati, James D. Dormer, Maysam Shahedi, Baowei Fei:
An augmented reality-assisted visualization system for potential applications in prostate biopsy. Image-Guided Procedures 2022 - [c91]James Huang, Junyu Guo, Ivan Pedrosa, Baowei Fei:
Deep learning-based deformable registration of dynamic contrast enhanced MR images of the kidney. Image-Guided Procedures 2022 - [c90]Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma, Baowei Fei:
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Image-Guided Procedures 2022 - [c89]Jeff Young, Maysam Shahedi, James D. Dormer, Brett Johnson, Jeffrey Gahan, Baowei Fei:
A low-cost PVC-based dual-modality kidney phantom. Image-Guided Procedures 2022 - [c88]James D. Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria N. Leitch, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, Baowei Fei:
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. Image Processing 2022 - 2021
- [c87]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen:
Cross-Vendor CT Image Data Harmonization Using CVH-CT. AMIA 2021 - [c86]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
CT Image Harmonization for Enhancing Radiomics Studies. BIBM 2021: 1057-1062 - [c85]Chandan Ganesh Bangalore Yogananda, Yudhajit Das, Benjamin C. Wagner, Sahil S. Nalawade, Divya D. Reddy, James M. Holcomb, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Disparity Autoencoders for Multi-class Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 116-124 - [c84]Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya D. Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. BrainLes@MICCAI (2) 2021: 444-454 - [c83]Ka'Toria Edwards, Martin T. Halicek, James V. Little, Amy Y. Chen, Baowei Fei:
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images. Computer-Aided Diagnosis 2021 - [c82]Yin Xi, Maysam Shahedi, Quyen N. Do, James D. Dormer, Matthew A. Lewis, Baowei Fei, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler:
Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS). Computer-Aided Diagnosis 2021 - [c81]Ling Ma, Ximing Zhou, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. Digital Pathology 2021 - [c80]Ximing Zhou, Ling Ma, William Brown, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. Digital Pathology 2021 - [c79]Patric Bettati, James D. Dormer, Jeff Young, Maysam Shahedi, Baowei Fei:
Virtual reality assisted cardiac catheterization. Image-Guided Procedures 2021 - [c78]Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei:
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. Image-Guided Procedures 2021 - [c77]Ling Ma, Maysam Shahedi, Ted Shi, Martin T. Halicek, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification. Image-Guided Procedures 2021 - [c76]Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei:
Automatic segmentation of the prostate on MR images based on anatomy and deep learning. Image-Guided Procedures 2021 - [c75]Chuangye Wan, Ling Ma, Xiabi Liu, Baowei Fei:
Computer-aided classification of lung nodules on CT images with expert knowledge. Image-Guided Procedures 2021 - 2020
- [c74]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
STAN-CT: Standardizing CT Image using Generative Adversarial Networks. AMIA 2020 - [c73]Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 448-457 - [c72]Ka'Toria Edwards, Avneesh Chhabra, James D. Dormer, Phillip Jones, Robert D. Boutin, Leon Lenchik, Baowei Fei:
Abdominal muscle segmentation from CT using a convolutional neural network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170L - [c71]Ling Ma, Martin T. Halicek, Baowei Fei:
In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171C - [c70]Christopher T. Tran, Martin T. Halicek, James D. Dormer, Animesh Tandon, Tarique Hussain, Baowei Fei:
Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171M - [c69]Abhishaike Mahajan, James D. Dormer, Qinmei Li, Deji Chen, Zhenfeng Zhang, Baowei Fei:
Siamese neural networks for the classification of high-dimensional radiomic features. Computer-Aided Diagnosis 2020 - [c68]Maysam Shahedi, James D. Dormer, T. T. Anusha Devi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Computer-Aided Diagnosis 2020 - [c67]Martin T. Halicek, Samuel Ortega, Himar Fabelo, Carlos López, Marylène Lejeune, Gustavo Marrero Callicó, Baowei Fei:
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. Digital Pathology 2020: 113200U - [c66]Ling Ma, Martin T. Halicek, Ximing Zhou, James D. Dormer, Baowei Fei:
Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. Digital Pathology 2020: 113200W - [c65]Amol Mavuduru, Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baowei Fei:
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Digital Pathology 2020: 113200C - [c64]Samuel Ortega, Martin T. Halicek, Himar Fabelo, Raúl Guerra, Carlos López, Marylène Lejeune, Fred Godtliebsen, Gustavo Marrero Callicó, Baowei Fei:
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Digital Pathology 2020: 113200V - [c63]Patric Bettati, Majid Chalian, James Huang, James D. Dormer, Maysam Shahedi, Baowei Fei:
Augmented reality-assisted biopsy of soft tissue lesions. Image-Guided Procedures 2020: 113150W - [c62]James D. Dormer, Md. Fiaz Islam Bhuiyan, Nahian Rahman, Nancy Joanna Deaton, Jun Sheng, Muralidhar Padala, Jaydev P. Desai, Baowei Fei:
Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. Image-Guided Procedures 2020: 113150Z - [c61]James Huang, Martin T. Halicek, Maysam Shahedi, Baowei Fei:
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. Image-Guided Procedures 2020: 113150U - [c60]Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei:
Renal biopsy under augmented reality guidance. Image-Guided Procedures 2020: 113152W - [c59]Maysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei:
Incorporating minimal user input into deep-learning-based image segmentation. Image Processing 2020: 1131313 - 2019
- [c58]Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Sahil S. Nalawade, Gowtham Krishnan Murugesan, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. BrainLes@MICCAI (2) 2019: 99-112 - [c57]Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 148-157 - [c56]Qinmei Li, James D. Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, Baowei Fei:
Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. Computer-Aided Diagnosis 2019: 1095044 - [c55]Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks. Digital Pathology 2019: 109560K - [c54]Martin T. Halicek, Himar Fabelo, Samuel Ortega, James V. Little, Xu Wang, Amy Y. Chen, Gustavo Marrero Callicó, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. Image-Guided Procedures 2019: 109511A - [c53]Maysam Shahedi, Martin T. Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma, David M. Schuster, Baowei Fei:
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Image-Guided Procedures 2019: 109512I - [c52]Himar Fabelo, Martin T. Halicek, Samuel Ortega, Adam Szolna, Jesús Morera, Roberto Sarmiento, Gustavo Marrero Callicó, Baowei Fei:
Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. Image-Guided Procedures 2019: 1095110 - 2018
- [c51]James D. Dormer, Ling Ma, Martin T. Halicek, Carolyn M. Reilly, Eduard Schreibmann, Baowei Fei:
Heart chamber segmentation from CT using convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782S - [c50]James D. Dormer, Martin T. Halicek, Ling Ma, Carolyn M. Reilly, Eduard Schreibmann, Baowei Fei:
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. Computer-Aided Diagnosis 2018: 1057530 - [c49]Martin T. Halicek, James V. Little, Xu Wang, Zhuo Georgia Chen, Mihir Patel, Christopher C. Griffith, Mark W. El-Deiry, Nabil F. Saba, Amy Y. Chen, Baowei Fei:
Deformable registration of histological cancer margins to gross hyperspectral images using demons. Digital Pathology 2018: 105810N - [c48]Martin T. Halicek, James V. Little, Xu Wang, Mihir Patel, Christopher C. Griffith, Amy Y. Chen, Baowei Fei:
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks. Image-Guided Procedures 2018: 1057605 - [c47]Maysam Shahedi, Ling Ma, Martin T. Halicek, Rongrong Guo, Guoyi Zhang, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei:
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Image-Guided Procedures 2018: 1057616 - 2017
- [c46]Baowei Fei, Guolan Lu, Martin T. Halicek, Xu Wang, Hongzheng Zhang, James V. Little, Kelly R. Magliocca, Mihir Patel, Christopher C. Griffith, Mark W. El-Deiry, Amy Y. Chen:
Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients. EMBC 2017: 4041-4045 - [c45]Ling Ma, Guolan Lu, Dongsheng Wang, Xu Wang, Zhuo Georgia Chen, Susan Muller, Amy Y. Chen, Baowei Fei:
Deep learning based classification for head and neck cancer detection with hyperspectral imaging in an animal model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101372G - [c44]Zhiqiang Tian, Lizhi Liu, Baowei Fei:
Deep convolutional neural network for prostate MR segmentation. Image-Guided Procedures 2017: 101351L - [c43]Ling Ma, Rongrong Guo, Guoyi Zhang, Funmilayo Tade, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei:
Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion. Image Processing 2017: 101332O - 2016
- [c42]Guolan Lu, Xulei Qin, Dongsheng Wang, Susan Muller, Hongzheng Zhang, Amy Y. Chen, Zhuo Georgia Chen, Baowei Fei:
Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978812 - [c41]Hyunkoo Chung, Guolan Lu, Zhiqiang Tian, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978813 - [c40]Guolan Lu, Xulei Qin, Dongsheng Wang, Susan Muller, Hongzheng Zhang, Amy Y. Chen, Zhuo Georgia Chen, Baowei Fei:
Quantitative diagnosis of tongue cancer from histological images in an animal model. Digital Pathology 2016: 97910L - [c39]Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei:
Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Image-Guided Procedures 2016: 978607 - [c38]Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei:
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. Image Processing 2016: 978427 - 2015
- [c37]Guolan Lu, Xulei Qin, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170Q - [c36]Guolan Lu, Xulei Qin, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging. Image-Guided Procedures 2015: 94151B - [c35]Xulei Qin, Silun Wang, Ming Shen, Xiaodong Zhang, Stamatios Lerakis, Mary B. Wagner, Baowei Fei:
Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Image-Guided Procedures 2015: 94152M - [c34]Zhiqiang Tian, Lizhi Liu, Baowei Fei:
A supervoxel-based segmentation method for prostate MR images. Image Processing 2015: 941318 - [c33]Zhiqiang Tian, Lizhi Liu, Baowei Fei:
A fully automatic multi-atlas based segmentation method for prostate MR images. Image Processing 2015: 941340 - 2014
- [c32]Guolan Lu, Luma V. Halig, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images. Image-Guided Procedures 2014: 90360S - [c31]Xulei Qin, Silun Wang, Ming Shen, Xiaodong Zhang, Mary B. Wagner, Baowei Fei:
Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound. Image-Guided Procedures 2014: 90361O - [c30]Robert Pike, Samuel K. Patton, Guolan Lu, Luma V. Halig, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection. Image Processing 2014: 90341W - [c29]Xulei Qin, Guolan Lu, Ioannis Sechopoulos, Baowei Fei:
Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features. Image Processing 2014: 90341V - [c28]Guolan Lu, Luma V. Halig, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei:
Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging. Image Processing 2014: 903413 - 2013
- [c27]Walter J. Wooten, Jonathan A. Nye, David M. Schuster, Peter T. Nieh, Viraj Master, John R. Votaw, Baowei Fei:
Accuracy evaluation of a 3D ultrasound-guided biopsy system. Image-Guided Procedures 2013: 86712H - [c26]Xulei Qin, Zhibin Cong, Luma V. Halig, Baowei Fei:
Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set. Image Processing 2013: 86690Q - 2012
- [c25]Baowei Fei, Hamed Akbari, Luma V. Halig:
Hyperspectral imaging and spectral-spatial classification for cancer detection. BMEI 2012: 62-64 - [c24]Xiaofeng Yang, Baowei Fei:
3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning. Image-Guided Procedures 2012: 83162O - [c23]Baowei Fei, David M. Schuster, Viraj Master, Hamed Akbari, Aaron Fenster, Peter Nieh:
A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate. Image-Guided Procedures 2012: 831613 - [c22]Xiaofeng Yang, Pegah Ghafourian, Puneet Sharma, Khalil Salman, Diego R. Martín, Baowei Fei:
Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images. Image Processing 2012: 83140B - [c21]Hamed Akbari, Baowei Fei:
Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model. Image Processing 2012: 83143D - 2011
- [c20]Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David M. Schuster:
A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer. Prostate Cancer Imaging 2011: 100-108 - [c19]Xiaofeng Yang, Hamed Akbari, Luma V. Halig, Baowei Fei:
3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy. Image-Guided Procedures 2011: 79642V - [c18]Xiaofeng Yang, David M. Schuster, Viraj Master, Peter Nieh, Aaron Fenster, Baowei Fei:
Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior. Image-Guided Procedures 2011: 796432 - [c17]Hamed Akbari, Xiaofeng Yang, Luma V. Halig, Baowei Fei:
3D segmentation of prostate ultrasound images using wavelet transform. Image Processing 2011: 79622K - [c16]Xiaofeng Yang, Ioannis Sechopoulos, Baowei Fei:
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. Image Processing 2011: 79623H - 2010
- [c15]Xiaofeng Yang, Baowei Fei:
A skull segmentation method for brain MR images based on multiscale bilateral filtering scheme. Image Processing 2010: 76233K - 2009
- [c14]Myun Joong Hwang, Ozkan Bebek, Fan Liang, Baowei Fei, Murat Cenk Cavusoglu:
Kinematic calibration of a parallel robot for small animal biopsies. IROS 2009: 4104-4109 - [c13]Shengwen Guo, Baowei Fei:
A minimal path searching approach for active shape model (ASM)-based segmentation of the lung. Image Processing 2009: 72594B - [c12]Hesheng Wang, Baowei Fei:
An MRI-guided PET partial volume correction method. Image Processing 2009: 725928 - 2008
- [c11]Xiang Chen, Ke Li, Robert Gilkeson, Baowei Fei:
Gaussian weighted projection for visualization of cardiac calcification. Image-Guided Procedures 2008: 691831 - [c10]Ke Li, Baowei Fei:
A deformable model-based minimal path segmentation method for kidney MR images. Image Processing 2008: 69144F - 2007
- [c9]Xiang Chen, Robert Gilkeson, Baowei Fei:
Automatic intensity-based 3D-to-2D registration of CT volume and dual-energy digital radiography for the detection of cardiac calcification. Image Processing 2007: 65120A - [c8]Hesheng Wang, Denise Feyes, John Mulvihill, Nancy Oleinick, Gregory T. MacLennan, Baowei Fei:
Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice. Image Processing 2007: 65122W - 2006
- [c7]Baowei Fei, Xiang Chen, Hesheng Wang, John M. Sabol, Elena DuPont, Robert C. Gilkeson:
Automatic Registration of CT Volumes and Dual-Energy Digital Radiography for Detection of Cardiac and Lung Diseases. EMBC 2006: 1976-1979 - 2004
- [c6]Jasjit S. Suri, Vasanth Pappu, Olivier Salvado, Baowei Fei, Shaoxiong Zhang, Jonathan S. Lewin, Jeffrey L. Duerk, David L. Wilson:
Rotational Effect on ROI's for Accurate Lumen Quantification in Bifurcated MR Plaque Volumes. CBMS 2004: 414- - 2003
- [c5]Baowei Fei, Zhenghong Lee, Daniel T. Boll, Jeffrey L. Duerk, Jonathan S. Lewin, David L. Wilson:
Image Registration and Fusion for Interventional MRI Guided Thermal Ablation of the Prostate Cancer. MICCAI (2) 2003: 364-372 - [c4]Baowei Fei, Kristin Frinkley, David L. Wilson:
Registration algorithms for interventional MRI-guided treatment of the prostate. Image-Guided Procedures 2003 - [c3]Baowei Fei, Zhenghong Lee, Jeffrey L. Duerk, David L. Wilson:
Image Registration for Interventional MRI Guided Procedures: Interpolation Methods, Similarity Measurements, and Applications to the Prostate. WBIR 2003: 321-329 - 2002
- [c2]Baowei Fei, Corey Kemper, David L. Wilson:
Three-dimensional warping registration of the pelvis and prostate. Image Processing 2002 - 2001
- [c1]Baowei Fei, Andrew Wheaton, Zhenghong Lee, Kenichi Nagano, Jeffrey L. Duerk, David L. Wilson:
Robust registration method for interventional MRI-guided thermal ablation of prostate cancer. Image-Guided Procedures 2001
Editorship
- 2020
- [e4]Baowei Fei, Cristian A. Linte:
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11315, SPIE 2020, ISBN 9781510633971 [contents] - 2019
- [e3]Baowei Fei, Cristian A. Linte:
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, 16-21 February 2019. SPIE Proceedings 10951, SPIE 2019, ISBN 9781510625495 [contents] - 2018
- [e2]Baowei Fei, Robert J. Webster III:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10576, SPIE 2018, ISBN 9781510616417 [contents] - 2017
- [e1]Robert J. Webster III, Baowei Fei:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10135, SPIE 2017, ISBN 9781510607156 [contents]
Informal and Other Publications
- 2021
- [i5]Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, Baowei Fei, Yueqi Zhu, Binjie Qin:
Sequential vessel segmentation via deep channel attention network. CoRR abs/2102.05229 (2021) - [i4]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
CT Image Harmonization for Enhancing Radiomics Studies. CoRR abs/2107.01337 (2021) - [i3]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen:
Cross-Vendor CT Image Data Harmonization Using CVH-CT. CoRR abs/2110.09693 (2021) - [i2]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [i1]Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
STAN-CT: Standardizing CT Image using Generative Adversarial Network. CoRR abs/2004.01307 (2020)
Coauthor Index
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