Ali Bilgin

Journals/Publications

• Li, Z., Fu, Z., Keerthivasan, M. B., Bilgin, A., Johnson, K., Galons, J., Martin, D. R., & Altbach, M. I. (2021). Rapid high-resolution volumetric T1 mapping using a highly accelerated Inversion-Recovery Radial FLASH technique. Magnetic Resonance Imaging, 79, 28-37.
• Mandava, S., Keerthivasan, M. B., Martin, D. R., Altbach, M. I., & Bilgin, A. (2021). Improving subspace constrained reconstruction for accelerated multi-contrast MR imaging and parameter mapping. Physics in Medicine and Biology, 66(4). doi:10.1088/1361-6560/abd4b8
• Pandey, S., Snider, D., Moreno, W., Ravi, H., Bilgin, A., & Raghunand, N. (2021). Joint Reconstruction of Multiparameter MRI for Imaging Intratumoral Subpopulations. Journal of Magnetic Resonance Imaging.
• Umapathy, L., Guzman Perez-Carrillo, G., Keerthivasan, M. B., Rosado-Toro, J. A., Altbach, M. I., Winegar, B., Weinkauf, C. C., & Bilgin, A. (2021). A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D-FLAIR Images. American Journal of Neuroradiology, 42(4), 639-647.
• Umapathy, L., Keerthivasan, M. B., Zahr, N. M., Bilgin, A., & Saranathan, M. (2021). A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. Neuroinformatics. doi:https://doi.org/10.1007/s12021-021-09544-5
• Bilgin, A., Karellas, A., Vedantham, S., Tseng, H. W., & Fu, Z. (2020). A Multi-Slice Residual Dense Network Assisted Sparse-view Reconstruction for Breast Computed Tomography. Scientific Reports.
• Fu, Z., Mandava, S., Keerthivasan, M. B., Li, Z., Martin, D. R., Altbach, M. I., & Bilgin, A. (2020). A Multi-scale Residual Network for Accelerated Radial MR Parameter Mapping. Magnetic Resonance Imaging, 73, 152-162.
• Liu, F., Ahanonu, E. L., Marcellin, M. W., Lin, Y., Ashok, A., & Bilgin, A. (2020). Visibility of Quantization Errors in Reversible JPEG2000. Signal Processing: Image Communication, 84, 115812.
• Umapathy, L., Winegar, B., MacKinnon, L., Hill, M., Altbach, M. I., Miller, J. M., & Bilgin, A. (2020). Fully Automated Segmentation of Globes for Volume Quantification in CT Orbits Images Using Deep Learning. American Journal of Neuroradiology, A6538. doi:DOI: 10.3174/ajnr.A6538
• Bilgin, A., Gurcan, M. N., Tozbikian, G., Marcellin, M. W., Ashok, A., Liu, F., Lin, Y., & Niazi, M. K. (2019). Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artificial Intelligence in Medicine, 95, 82–87.
• Keerthivasan, M. B., Johnson, K., Saranathan, M., Fu, Z., Weinkauf, C. C., Martin, D. R., Bilgin, A., & Altbach, M. I. (2019). An Efficient 3D Stack-of-Stars TSE Pulse Sequence for Simultaneous T2-weighted Imaging and T2 Mapping. Magnetic Resonance in Medicine, 82(1), 326-341.
• Li, Z., Bilgin, A., Johnson, K., Galons, J. P., Vedantham, S., Martin, D. R., & Altbach, M. I. (2019). Rapid high-resolution T mapping using a highly accelerated radial steady-state free-precession technique. Journal of magnetic resonance imaging : JMRI, 49(1), 239-252.
• Mandava, S., Keerthivasan, M. B., Martin, D. R., Altbach, M. I., & Bilgin, A. (2019). Radial streak artifact reduction using phased array beamforming. Magnetic resonance in medicine, 81, 3915-3923.
• Altbach, M. I., Bilgin, A., Martin, D. R., Janardhanan, R., Avery, R., Johnson, K. D., Mandava, S., & Keerthivasan, M. B. (2018). Improved Slice Coverage in Double Inversion Fast Spin Echo with Multi-Band Encoding.. Journal of Cardiac Magnetic Resonance, 20(49).
• Chen, N., Chang, H., Bilgin, A., Bernstein, A., & Trouard, T. P. (2018). A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion-weighted MRI. PLOS ONE, 13(4).

Proceedings Publications

• Ahanonu, E., Fu, Z., Johnson, K., Altbach, M. I., & Bilgin, A. (2021). Improved Slice Coverage in Inversion Recovery Radial Balanced-SSFP using Deep Learning. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Bilgin, A., Do, L., Martin, P. A., Lockhart, E., Bernstein, A. S., Ugonna, C., Dieckhaus, L., Comrie, C., Hutchinson, E. B., Chen, N., Alexander, G. E., Barnes, C. A., & Trouard, T. P. (2021). Accelerating Diffusion Tensor Imaging of the Rat Brain using Deep Learning. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Fu, Z., Altbach, M. I., & Bilgin, A. (2021). Cancellation of streak artifacts using the interference null space (CACTUS) for radial abdominal imaging. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Guzman Perez-Carrillo, G., Umapathy, L., Winegar, B., Altbach, M. I., Keerthivasan, M. B., & Bilgin, A. (2021). Improving White Matter Hyperintensities Lesion Burden Assessment on ADNI 3D T2-FLAIRs Using StackGen-Net. In 2021 Annual Meeting of the American Society of Neuroradiology.
• Iglehart, C., Bilgin, A., Levine, E., & Saranathan, M. (2021). Fast T2* Mapping Using Complementary Poisson Disk Sampling and ADMM Reconstruction. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Keerthivasan, M. B., Galons, J., Martin, D. R., Bilgin, A., & Altbach, M. I. (2021). Multi-component T2 Modeling for Improved Characterization of Abdominal Neoplasms. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Keerthivasan, M. B., Umapathy, L., Galons, J., Martin, D. R., Bilgin, A., & Altbach, M. I. (2021). Efficient T2 mapping of the Abdomen with low SAR Variable Flip Angle Radial Turbo Spin Echo. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Pandey, S., Snider, A. D., Moreno, W., Ravi, H., Bilgin, A., & Raghunand, N. (2021). Jointly Reconstructed Undersampled Multiparameter MRI for Imaging Intratumoral Subpopulations. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Phillip, R. C., Bilgin, A., & Altbach, M. I. (2021). Automated Radial Streaking Artifact Suppression with RGB-STAR. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Umapathy, L., Guzman Perez-Carrillo, G., Winegar, B., Vedantham, S., Altbach, M. I., & Bilgin, A. (2021). White matter hyperintensity volumes and cognition: Assessment of a deep learning-based lesion detection and quantification algorithm on ADNI. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Ahanonu, E., Marcellin, M. W., & Bilgin, A. (2020, Spring). Lossless Multi-Component Image Compression based on Integer Wavelet Coefficient Prediction using Convolutional Neural Networks. In IEEE Data Compression Conference.
• Fu, Z., Martin, D. R., Altbach, M. I., & Bilgin, A. (2020, August). Multi-objective Deep Learning for Joint Estimation and Detection Tasks in MRI. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Umapathy, L., Guzman Perez-Carrillo, G., Keerthivasan, M., Altbach, M. I., Winegar, B., Weinkauf, C. C., & Bilgin, A. (2020, August). StackGen-Net: A Stacked Generalization of 3D Orthogonal Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities. In Annual Meeting of the International Society for Magnetic Resonance in Medicine.
• Ahanonu, E., Marcellin, M. W., & Bilgin, A. (2019, March). Clustering Regression Wavelet Analysis for Lossless Compression of Hyperspectral Imagery. In 2019 IEEE Data Compression Conference, Snowbird, UT.
• Ashok, A., Ashok, A., Ahanonu, E., Ahanonu, E., Marcellin, M. W., Marcellin, M. W., Liu, F., Liu, F., Hernandez-Cabronero, M., Hernandez-Cabronero, M., Bilgin, A., Bilgin, A., Lin, Y., & Lin, Y. (2019, March). Perception-optimized encoding for visually lossy image compression. In 2019 Data Compression Conference, Snowbird, Utah.

Presentations

• Bilgin, A., Karellas, A., Vedantham, S., Tseng, H., & Fu, Z. (2020, July). Dedicated Breast CT: Comparative Evaluation of Multi-Scale Residual Dense Network and Residual Encoder-Decoder Network for Deep Learning-Driven Sparse-View Reconstruction. American Association of Physicists in Medicine (AAPM) Annual Meeting. Vancouver, Canada (Virtual): American Association of Physicists in Medicine.
• Fu, Z., Tseng, H., Vedantham, S., Karellas, A., & Bilgin, A. (2019, Dec/Fall). Deep Learning-Driven Sparse-View Reconstruction for Radiation Dose Reduction in Dedicated Breast CT: Quantitative Evaluation.. 105th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), 2019 RSNA Annual Meeting Program, Abstract # SSC13-05.. Chicago, IL: Radiological Society of North America (RSNA).

Others

• Marcellin, M. W., Bilgin, A., Lalgudi, H. G., & Nadar, M. S. (2012). Lifting-based view compensated compression and remote visualization of volume rendered images.
• Bilgin, A., Kim, Y., Nadar, M. S., & Sundaresan, R. (2011). SYSTEM AND METHOD FOR MOTION-COMPENSATED COMPRESSED SENSING FOR DYNAMIC IMAGING.
• Marcellin, M. W., Bilgin, A., Lalgudi, H. G., & others, . (2011). Methods and systems for remotely visualizing images.
• Bilgin, A., Kim, Y., & Nadar, M. S. (2010). Method for Exploiting Structure in Sparse Domain for Magnetic Resonance Image Reconstruction.
• Bilgin, A., Kim, Y., & Nadar, M. S. (2010). Method for reconstruction of magnetic resonance images.
• Marcellin, M. W., & Bilgin, A. (2010). Digital intermediate (DI) processing and distribution with scalable compression in the post-production of motion pictures.
• Marcellin, M. W., & Bilgin, A. (2010). Rate control of scalably coded images.
• Marcellin, M. W., Bilgin, A., Wu, Z., & others, . (2009). Methods for decoding corrupt JPEG2000 codestreams.
• Marcellun, M., & Bilgin, A. (2008). RATE CONTROL OF SCALABLY CODED IMAGES.
• Mercellin, M., & Bilgin, A. (2007). DIGITAL INTERMEDIATE (DI) PROCESSING AND DISTRIBUTION WITH SCALABLE COMPRESSION IN THE POST-PRODUCTION OF MOTION PICTURES.
• MERCELLIN, M., & BILGIN, A. (2006). DIGITAL INTERMEDIATE (DI) PROCESSING AND DISTRIBUTION WITH SCALABLE COMPRESSION IN THE POST-PRODUCTION OF MOTION PICTURES.
• Marcellin, M. W., & Bilgin, A. (2006). Digital intermediate (DI) processing and distribution with scalable compression in the post-production of motion pictures.
• MARCELLIN, M., BILGIN, A., WU, Z., & others, . (2004). METHODS FOR DECODING CORRUPT JPEG2000 CODESTREAMS.
• Bilgin, A. (2003). A simulation model of indoor environments for ultrasonic sensors.
• Bilgin, A. (1995). Image Processing and Compression for Intelligent Vehicle Highway Systems.