Bradley J. Erickson

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 32

Top Topics

Automated Segmentation

Convolutional Neural Networks

Top Venues

J. Digit. Imaging

Medical Imaging: Image Processing

Frontiers Neuroinformatics

Publications

Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Kellen L. Mulford, Michael J. Taunton, Bradley J. Erickson, Cody C. Wyles
RadRotator: 3D Rotation of Radiographs with Diffusion Models. CoRR (2024)
Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble, Moein Shariatnia, Bradley J. Erickson
CONFLARE: CONFormal LArge language model REtrieval. CoRR (2024)
Cooper U. Gamble, Shahriar Faghani, Bradley J. Erickson
Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection. CoRR (2024)
Stephanie Zawada, Ali Ganjizadeh, Clint E. Hagen, Bart M. Demaerschalk, Bradley J. Erickson
Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies. Sensors 24 (11) (2024)
Joseph D. Sobek, Jose R. Medina Inojosa, Betsy J. Medina Inojosa, S. M. Rassoulinejad-Mousavi, Gian Marco Conte, Francisco Lopez-Jimenez, Bradley J. Erickson
MedYOLO: A Medical Image Object Detection Framework. CoRR (2023)
Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research. CoRR (2023)
Mana Moassefi, Pouria Rouzrokh, Gian Marco Conte, Sanaz Vahdati, Tianyuan Fu, Aylin Tahmasebi, Mira Younis, Keyvan Farahani, Amilcare Gentili, Timothy Kline, Felipe C. Kitamura, Yuankai Huo, Shiba Kuanar, Khaled Younis, Bradley J. Erickson, Shahriar Faghani
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. J. Imaging Inform. Medicine 36 (5) (2023)
Shahriar Faghani, Bardia Khosravi, Mana Moassefi, Gian Marco Conte, Bradley J. Erickson
A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI. J. Digit. Imaging 36 (3) (2023)
Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study. J. Digit. Imaging 36 (4) (2023)
Bardia Khosravi, Pouria Rouzrokh, John P. Mickley, Shahriar Faghani, Kellen Mulford, Linjun Yang, A. Noelle Larson, Benjamin M. Howe, Bradley J. Erickson, Michael J. Taunton, Cody C. Wyles
Few-shot biomedical image segmentation using diffusion models: Beyond image generation. Comput. Methods Programs Biomed. 242 (2023)
David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram P. Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8 (5) (2022)
Yashbir Singh, William Jons, Joseph D. Sobek, John E. Eaton, Bradley J. Erickson, Barrett J. Anderies, Jaidip Jagtap
Betti-Number Based Machine-Learning Classifier Frame-work for Predicting the Hepatic Decompensation in Patients with Primary Sclerosing Cholangitis. CCWC (2022)
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report. CoRR (2022)
Alex Bratt, Daniel J. Blezek, William J. Ryan, Kenneth A. Philbrick, Prabhakar Rajiah, Yasmeen K. Tandon, Lara A. Walkoff, Jason C. Cai, Emily N. Sheedy, Panagiotis Korfiatis, Eric E. Williamson, Bradley J. Erickson, Jeremy D. Collins
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement. J. Digit. Imaging 34 (5) (2021)
Benjamin B. Yan, Yujia Wei, Jaidip Manikrao M. Jagtap, Mana Moassefi, Diana V. Vera Garcia, Yashbir Singh, Sanaz Vahdati, Shahriar Faghani, Bradley J. Erickson, Gian Marco Conte
MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks. BrainLes@MICCAI (2) (2021)
Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh, Bradley J. Erickson
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks. CoRR (2021)
Adriana V. Gregory, Deema A. Anaam, Andrew J. Vercnocke, Marie E. Edwards, Vicente E. Torres, Peter C. Harris, Bradley J. Erickson, Timothy L. Kline
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning. J. Digit. Imaging 34 (4) (2021)
Zeynettin Akkus, Petro M. Kostandy, Kenneth A. Philbrick, Bradley J. Erickson
Robust brain extraction tool for CT head images. Neurocomputing 392 (2020)
Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
Interactive segmentation of medical images through fully convolutional neural networks. CoRR (2019)
Kenneth A. Philbrick, Alexander D. Weston, Zeynettin Akkus, Timothy L. Kline, Panagiotis Korfiatis, Tomas Sakinis, Petro M. Kostandy, Arunnit Boonrod, Atefeh Zeinoddini, Naoki Takahashi, Bradley J. Erickson
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. J. Digit. Imaging 32 (4) (2019)
Zeynettin Akkus, Arunnit Boonrod, Mahfuzur R. Siddiquee, Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Dana Erickson, Matthew R. Callstrom, Bradley J. Erickson
Reduction of unnecessary thyroid biopsies using deep learning. Medical Imaging: Image Processing (2019)
Panagiotis Korfiatis, Timothy L. Kline, Bradley J. Erickson
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients. Medical Imaging: Computer-Aided Diagnosis (2018)
Zeynettin Akkus, Petro M. Kostandy, Kenneth A. Philbrick, Bradley J. Erickson
Extraction of brain tissue from CT head images using fully convolutional neural networks. Medical Imaging: Image Processing (2018)
Youngoh Bae, Kunaraj Kumarasamy, Issa Ali, Panagiotis Korfiatis, Zeynettin Akkus, Bradley J. Erickson
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI. J. Digit. Imaging 31 (2) (2018)
Bradley J. Erickson
Machine Learning: Discovering the Future of Medical Imaging. J. Digit. Imaging 30 (4) (2017)
Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy Kline, Kenneth Philbrick
Toolkits and Libraries for Deep Learning. J. Digit. Imaging 30 (4) (2017)
Timothy L. Kline, Panagiotis Korfiatis, Marie E. Edwards, Jaime D. Blais, Frank S. Czerwiec, Peter C. Harris, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys. J. Digit. Imaging 30 (4) (2017)
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. J. Digit. Imaging 30 (4) (2017)
Panagiotis Korfiatis, Timothy L. Kline, Daniel H. Lachance, Ian F. Parney, Jan C. Buckner, Bradley J. Erickson
Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status. J. Digit. Imaging 30 (5) (2017)
Zeynettin Akkus, Issa Ali, Jirí Sedlár, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence. J. Digit. Imaging 30 (4) (2017)
Zeynettin Akkus, Issa Ali, Jirí Sedlár, Timothy L. Kline, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning. CoRR (2016)
Charles E. Kahn, Bradley J. Erickson
The Best of Imaging Informatics Research 2015. AMIA (2015)
David A. Gutman, William D. Dunn, Jake Cobb, Richard Martin Stoner, Jayashree Kalpathy-Cramer, Bradley J. Erickson
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers Neuroinformatics 8 (2014)
Jian Su, Zhoubo Li, Lifeng Yu, Joshua D. Warner, Daniel J. Blezek, Bradley J. Erickson
CT image noise reduction using rotational-invariant feature in Stockwell transform. Medical Imaging: Image Processing (2014)
Joshua D. Warner, Maria V. Irazabal, Ganapathy Krishnamurthi, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. J. Digit. Imaging 27 (4) (2014)
Briana Wellman, Bradley J. Erickson, Tommy Suriel, Kamala Mayo, Tajh Phifer, Kriti Acharya
Effects of Wireless Signal Attenuation on Robot Team Performance. FLAIRS Conference (2014)
Vimal Singh, Dan Wang, Ahmed H. Tewfik, Bradley J. Erickson
Liver segmentation using structured sparse representations. ICASSP (2012)
Chin-Ann Yang, Mostafa Kaveh, Bradley J. Erickson
Cluster-based differential features to improve detection accuracy of focal cortical dysplasia. Medical Imaging: Computer-Aided Diagnosis (2012)
Moriyoshi Ohara, Hangu Yeo, Frank Savino, Giridharan Iyengar, Leiguang Gong, Hiroshi Inoue, Hideaki Komatsu, Vadim Sheinin, Shahrokh Daijavad, Bradley J. Erickson
Real-Time Mutual-Information-Based Linear Registration on the Cell Broadband Engine Processor. ISBI (2007)
Julia Willamena Patriarche, Armando Manduca, Bradley J. Erickson
Improved classification accuracy by feature extraction using genetic algorithms. Medical Imaging: Image Processing (2003)
Armando Manduca, Bradley J. Erickson, Kenneth R. Persons, Patrice M. Palisson
Histogram transformation for improved compression of CT images. Medical Imaging: Image Processing (1997)
Bradley J. Erickson, Dale G. Gehring, William J. Ryan
Integration of PACS image display with an electronic medical record. Medical Imaging: Image Processing (1997)
Bradley J. Erickson, Armando Manduca, Kenneth R. Persons
Clinical evaluation of wavelet compression of digitized chest x-rays. Medical Imaging: Image Processing (1997)
Ramesh T. V. Avula, Bradley J. Erickson
Automatic segmentation of MR brain images in multiple sclerosis patients. Medical Imaging: Image Processing (1996)