Development of a Residential Gateway and a Service Server for Home Automation. - Jongkyu Park; Ilseok Han; Jinhyuck Kwon; June Hwang; Hagbae Kim; Sangtae Ahn; Whie Chang (AISA, 2002)

A Globally Convergent Image Reconstruction for Emission Tomography Using Relaxed Ordered Subsets Algorithms. - Sangtae Ahn; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2003)

Covariance of Kinetic Parameter Estimators Based on Time Activity Curve Reconstructions: Preliminary Study on 1D Dynamic Imaging. - Sangtae Ahn; Jeffrey A. Fessler; Thomas E. Nichols; Robert A. Koeppe (ISBI, 2004)

Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values. - Sangtae Ahn; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2004)

Spatial resolution properties of nonquadratically regularized image reconstruction for PET. - Sangtae Ahn; Richard M. Leahy (ISBI, 2006)

Convergent incremental optimization transfer algorithms: application to tomography. - Sangtae Ahn; Jeffrey A. Fessler; Doron Blatt; Alfred O. Hero III (IEEE Trans. Medical Imaging, 2006)

Fast Image Reconstruction Methods for Fully 3d Multispectral Optical Bioluminescence Tomography. - Sangtae Ahn; Abhijit J. Chaudhari; Felix Darvas; Charles A. Bouman; Richard M. Leahy (ISBI, 2007)

Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET. - Sanghee Cho; Quanzheng Li; Sangtae Ahn; Bing Bai; Richard M. Leahy (IEEE Trans. Medical Imaging, 2007)

A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data. - Quanzheng Li; Evren Asma; Sangtae Ahn; Richard M. Leahy (IEEE Trans. Medical Imaging, 2007)

Analysis of Resolution and Noise Properties of Nonquadratically Regularized Image Reconstruction Methods for PET. - Sangtae Ahn; Richard M. Leahy (IEEE Trans. Medical Imaging, 2008)

Optimal Illumination Patterns for Fluorescence Tomography. - Joyita Dutta; Sangtae Ahn; Anand A. Joshi; Richard M. Leahy (ISBI, 2009)

Directed Mammalian Gene Regulatory Networks Using Expression and Comparative Genomic Hybridization Microarray Data from Radiation Hybrids. - Sangtae Ahn; Richard T. Wang; Christopher C. Park; Andy Lin; Richard M. Leahy; Kenneth Lange; Desmond J. Smith (PLoS Comput. Biol., 2009)

A Poisson model for random multigraphs. - John M. O. Ranola; Sangtae Ahn; Mary E. Sehl; Desmond J. Smith; Kenneth Lange (Bioinform., 2010)

How Much Features in Brain-Computer Interface Are Discriminative?- Quantitative Measure by Relative Entropy. - Sangtae Ahn; Sungwook Kang; Sung Chan Jun (HCI (23), 2011)

Optimal Rebinning of Time-of-Flight PET Data. - Sangtae Ahn; Sanghee Cho; Quanzheng Li; Yanguang Lin; Richard M. Leahy (IEEE Trans. Medical Imaging, 2011)

Quantitatively accurate image reconstruction for clinical whole-body PET imaging. - Evren Asma; Sangtae Ahn; Hua Qian; Girishankar Gopalakrishnan; Kris Thielemans; Steven G. Ross; Ravindra M. Manjeshwar; Alexander Ganin (APSIPA, 2012)

Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. - Yu-Jung Tsai; Alexandre Bousse; Matthias J. Ehrhardt; Charles W. Stearns; Sangtae Ahn; Brian F. Hutton; Simon R. Arridge; Kris Thielemans (IEEE Trans. Medical Imaging, 2018)

Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction. - Itzik Malkiel; Sangtae Ahn; Valentina Taviani; Anne Menini; Lior Wolf; Christopher J. Hardy (CoRR, 2019)

Targeting reduced neural oscillations in patients with schizophrenia by transcranial alternating current stimulation. - Sangtae Ahn; Juliann M. Mellin; Sankaraleengam Alagapan; Morgan L. Alexander; John H. Gilmore; L. Fredrik Jarskog; Flavio Fröhlich (NeuroImage, 2019)

Deep learning-based model observers that replicate human observers for PET imaging. - Fenglei Fan; Sangtae Ahn; Bruno De Man; Kristen A. Wangerin; Scott D. Wollenweber; Craig K. Abbey; Paul E. Kinahan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction. - Hyun Jae Baek; Hyun Seok Kim; Minkyu Ahn; Hohyun Cho; Sangtae Ahn (Comput. Intell. Neurosci., 2020)

A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans. - Michael Rotman; Rafi Brada; Israel Beniaminy; Sangtae Ahn; Christopher J. Hardy; Lior Wolf (CoRR, 2020)

Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction. - Yu-Jung Tsai; Georg Schramm; Sangtae Ahn; Alexandre Bousse; Simon R. Arridge; Johan Nuyts; Brian F. Hutton; Charles W. Stearns; Kris Thielemans (IEEE Trans. Medical Imaging, 2020)

Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. - Itzik Malkiel; Sangtae Ahn; Valentina Taviani; Anne Menini; Lior Wolf; Christopher J. Hardy (ICCP, 2021)

Artificial Intelligence in PET: an Industry Perspective. - Arkadiusz Sitek; Sangtae Ahn; Evren Asma; Adam Chandler; Alvin Ihsani; Sven Prevrhal; Arman Rahmim; Babak Saboury; Kris Thielemans (CoRR, 2021)

Deep learning-based reconstruction of highly accelerated 3D MRI. - Sangtae Ahn; Uri Wollner; Graeme McKinnon; Isabelle Heukensfeldt Jansen; Rafi Brada; Dan Rettmann; Ty A. Cashen; John Huston; J. Kevin DeMarco; Robert Y. Shih; Joshua D. Trzasko; Christopher J. Hardy; et al. (CoRR, 2022)

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. - Jinhee Park; Sehyeon Jang; Jeonghwan Gwak; Byeong C. Kim; Jang Jae Lee; Kyu Yeong Choi; Kun Ho Lee; Sung Chan Jun; Gil-Jin Jang; Sangtae Ahn (Expert Syst. Appl., 2022)

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction. - Jianfeng Guo; Charles Ross Schmidtlein; Andrzej Król; Si Li; Yizun Lin; Sangtae Ahn; Charles W. Stearns; Yuesheng Xu (IEEE Trans. Medical Imaging, 2022)

Improving the performance of object detection by preserving label distribution. - Heewon Lee; Sangtae Ahn (CoRR, 2023)

An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. - Robert Twyman; Simon R. Arridge; Zeljko Kereta; Bangti Jin; Ludovica Brusaferri; Sangtae Ahn; Charles W. Stearns; Brian F. Hutton; Irene A. Burger; Fotis Kotasidis; Kris Thielemans (IEEE Trans. Medical Imaging, 2023)

Object Detection in Surveillance Video using EEG with Domain Adaptation Approach. - Min-Hu Yun; Hyeonjin Jang; Sangtae Ahn; Hyun-Chul Kim (BCI, 2024)

DAFT-GAN: Dual Affine Transformation Generative Adversarial Network for Text-Guided Image Inpainting. - Jihoon Lee; Yunhong Min; Hwidong Kim; Sangtae Ahn (ACM Multimedia, 2024)

Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models. - Seunghun Lee; Jihoon Lee; Chan Ho Bae; Myung-Seok Choi; Ryong Lee; Sangtae Ahn (IEEE Access, 2024)

STCNet: Spatio-Temporal Cross Network with subject-aware contrastive learning for hand gesture recognition in surface EMG. - Jaemo Yang; Doheun Cha; Dong-Gyu Lee; Sangtae Ahn (Comput. Biol. Medicine, 2025)

Fractional impulsive controller design of fractional-order fuzzy systems with average dwell-time strategy and its application to wind energy systems. - Govindasamy Narayanan; M. Syed Ali 001; Sangtae Ahn; Young Hoon Joo; Rajagopal Karthikeyan; Grienggrai Rajchakit (Commun. Nonlinear Sci. Numer. Simul., 2025)

Multimodal feature fusion for human activity recognition using human centric temporal transformer. - Samee Ullah Khan; Maryam Sultana; Sufyan Danish; Deepak Gupta; Norah Saleh Alghamdi; Suchang Woo; Dong-Gyu Lee; Sangtae Ahn (Eng. Appl. Artif. Intell., 2025)

Deep scene understanding with extended text description for human object interaction detection. - Hye-Seong Hong; Jeong-Cheol Lee; Abhishek Kumar 010; Sangtae Ahn; Dong-Gyu Lee (Expert Syst. Appl., 2025)

Adaptive event-triggered stochastic estimator-based sampled-data fuzzy control for fractional-order permanent magnet synchronous generator-based wind energy systems. - Govindasamy Narayanan; Sangtae Ahn; Yong Wang; Jae Hoon Jeong; Young Hoon Joo (Expert Syst. Appl., 2025)

Optimal fractional fuzzy sliding-mode control for fractional-order fuzzy systems based on actor-critic reinforcement learning scheme. - Govindasamy Narayanan; Sangmoon Lee; Sangtae Ahn (J. Frankl. Inst., 2025)