Babak Saboury

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Artificial Intelligence

Automatic Segmentation

Infectious Disease

Top Venues

J. Digit. Imaging

Publications

Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon, Joyita Dutta, Georges El Fakhri, Munir Ghesani, Nicolas A. Karakatsanis, Quanzheng Li, Chi Liu, Emilie Roncali, Babak Saboury, Tahir Yusufaly, Abhinav K. Jha
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR (2024)
Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI (2023)
Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images. J. Digit. Imaging 36 (4) (2023)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR (2022)
Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI (2022)
Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
Artificial Intelligence in PET: an Industry Perspective. CoRR (2021)
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR (2021)
Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman
CCS-GAN: COVID-19 CT-scan classification with very few positive training images. CoRR (2021)
Aryya Gangopadhyay, Michael Morris, Babak Saboury, Eliot L. Siegel, Yelena Yesha
IDIOMS: Infectious Disease Imaging Outbreak Monitoring System. Digit. Gov. Res. Pract. 2 (1) (2021)
Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim
A brief history of AI: how to prevent another winter (a critical review). CoRR (2021)
Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network. CoRR (2021)
Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris
Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN. IEEE BigData (2020)
Sumeet Menon, Joshua Galita, David R. Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. CoRR (2020)
Sumeet Menon, David R. Chapman, Phuong Nguyen, Yelena Yesha, Michael Morris, Babak Saboury
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening. CoRR (2020)
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Michael Morris, Babak Saboury, Niketh Bandla, Christopher Toland, Christopher Meenan, Eliot L. Siegel, Jean Jeudy
Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era. J. Digit. Imaging 30 (5) (2017)
Monica M. S. Matsumoto, Jayaram K. Udupa, Yubing Tong, Babak Saboury, Drew A. Torigian
Quantitative normal thoracic anatomy at CT. Comput. Medical Imaging Graph. 51 (2016)
Jayaram K. Udupa, Dewey Odhner, Liming Zhao, Yubing Tong, Monica M. S. Matsumoto, Krzysztof Chris Ciesielski, Alexandre X. Falcão, Pavithra Vaideeswaran, Victoria Ciesielski, Babak Saboury, Syedmehrdad Mohammadianrasanani, Sanghun Sin, Raanan Arens, Drew A. Torigian
Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images. Medical Image Anal. 18 (5) (2014)
Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Monica M. S. Matsumoto, Krzysztof Chris Ciesielski, Pavithra Vaideeswaran, Victoria Ciesielski, Babak Saboury, Liming Zhao, Syedmehrdad Mohammadianrasanani, Drew A. Torigian
Fuzzy model-based body-wide anatomy recognition in medical images. Medical Imaging: Image-Guided Procedures (2013)
Jayaram K. Udupa, Dewey Odhner, Alexandre X. Falcão, Krzysztof Chris Ciesielski, Paulo A. V. Miranda, Monica M. S. Matsumoto, George J. Grevera, Babak Saboury, Drew A. Torigian
Automatic anatomy recognition via fuzzy object models. Medical Imaging: Image-Guided Procedures (2012)
Jayaram K. Udupa, Dewey Odhner, Alexandre X. Falcão, Krzysztof Chris Ciesielski, Paulo A. V. Miranda, Pavithra Vaideeswaran, Shipra Mishra, George J. Grevera, Babak Saboury, Drew A. Torigian
Fuzzy object modeling. Medical Imaging: Image-Guided Procedures (2011)