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2020 – today
- 2024
[i10]Ziyun Yang, Kevin Choy, Sina Farsiu:
Spatial Coherence Loss for Salient and Camouflaged Object Detection and Beyond. CoRR abs/2402.18698 (2024)- 2023
- [j21]Reza Rasti
, Armin Biglari, Mohammad Rezapourian, Ziyun Yang, Sina Farsiu:
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation. IEEE Trans. Medical Imaging 42(5): 1413-1423 (2023) - [c11]Ziyun Yang, Sina Farsiu:
Directional Connectivity-based Segmentation of Medical Images. CVPR 2023: 11525-11535 - [i9]Ziyun Yang, Sina Farsiu:
Directional Connectivity-based Segmentation of Medical Images. CoRR abs/2304.00145 (2023) - 2022
- [j20]Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu:
BiconNet: An edge-preserved connectivity-based approach for salient object detection. Pattern Recognit. 121: 108231 (2022) - [j19]Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh:
Identifying Latent Stochastic Differential Equations. IEEE Trans. Signal Process. 70: 89-104 (2022) - [c10]Ali Hasan, Khalil Elkhalil, Yuting Ng, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh:
Modeling extremes with d-max-decreasing neural networks. UAI 2022: 759-768 - [i8]Reza Rasti, Armin Biglari, Mohammad Rezapourian, Ziyun Yang, Sina Farsiu:
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation. CoRR abs/2209.12468 (2022) - 2021
- [j18]Yijun Bao, Somayyeh Soltanian-Zadeh, Sina Farsiu, Yiyang Gong:
Segmentation of neurons from fluorescence calcium recordings beyond real time. Nat. Mach. Intell. 3(7): 590-600 (2021) - [j17]Jessica Loo, Matthias F. Kriegel, Megan M. Tuohy, Kyeong Hwan Kim, Venkatesh Prajna, Maria A. Woodward, Sina Farsiu:
Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning. IEEE J. Biomed. Health Informatics 25(1): 88-99 (2021) - [c9]Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh:
Fisher Auto-Encoders. AISTATS 2021: 352-360 - [c8]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic Photogrammetry With an Unstabilized Phone Camera. CVPR 2021: 7535-7545 - [i7]Ali Hasan, Khalil Elkhalil, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh:
Deep Extreme Value Copulas for Estimation and Sampling. CoRR abs/2102.09042 (2021) - [i6]Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu:
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection. CoRR abs/2103.00334 (2021) - 2020
- [j16]Ouwen Huang, Will Long, Nick Bottenus, Marcelo Lerendegui, Gregg E. Trahey, Sina Farsiu, Mark L. Palmeri:
MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints. IEEE Trans. Medical Imaging 39(6): 2277-2286 (2020) - [c7]Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations From Data Using Neural Networks. ICASSP 2020: 3962-3966 - [i5]Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh:
Learning latent stochastic differential equations with variational auto-encoders. CoRR abs/2007.06075 (2020) - [i4]Khalil Elkhalil, Ali Hasan, Jie Ding, Sina Farsiu, Vahid Tarokh:
Fisher Auto-Encoders. CoRR abs/2007.06120 (2020) - [i3]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic photogrammetry with an unstabilized phone camera. CoRR abs/2012.06044 (2020)
2010 – 2019
- 2019
- [i2]Ouwen Huang, Will Long, Nick Bottenus, Gregg E. Trahey, Sina Farsiu, Mark L. Palmeri:
MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints. CoRR abs/1908.05782 (2019) - [i1]Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations from Data Using Neural Networks. CoRR abs/1910.10262 (2019) - 2018
- [j15]Somayyeh Soltanian-Zadeh, Yiyang Gong, Sina Farsiu:
Information-Theoretic Approach and Fundamental Limits of Resolving Two Closely Timed Neuronal Spikes in Mouse Brain Calcium Imaging. IEEE Trans. Biomed. Eng. 65(11): 2428-2439 (2018) - [j14]Theodore B. Dubose, David Cunefare, Elijah Cole, Peyman Milanfar, Joseph A. Izatt, Sina Farsiu:
Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography. IEEE Trans. Medical Imaging 37(9): 1978-1988 (2018) - 2017
- [j13]Leyuan Fang, Shutao Li, David Cunefare, Sina Farsiu:
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 36(2): 407-421 (2017) - 2015
- [j12]Rolando Estrada, Carlo Tomasi, Scott C. Schmidler, Sina Farsiu:
Tree Topology Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1688-1701 (2015) - [j11]Leyuan Fang, Shutao Li, Xudong Kang, Joseph A. Izatt, Sina Farsiu:
3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography. IEEE Trans. Medical Imaging 34(6): 1306-1320 (2015) - [j10]Rolando Estrada, Michael J. Allingham, Priyatham S. Mettu, Scott W. Cousins, Carlo Tomasi, Sina Farsiu:
Retinal Artery-Vein Classification via Topology Estimation. IEEE Trans. Medical Imaging 34(12): 2518-2534 (2015) - 2013
- [j9]Leyuan Fang, Shutao Li, Ryan P. McNabb, Qing Nie, Anthony N. Kuo, Cynthia A. Toth, Joseph A. Izatt, Sina Farsiu:
Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation. IEEE Trans. Medical Imaging 32(11): 2034-2049 (2013) - 2010
- [j8]M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, Sina Farsiu:
Efficient Fourier-Wavelet Super-Resolution. IEEE Trans. Image Process. 19(10): 2669-2681 (2010)
2000 – 2009
- 2009
- [j7]M. Dirk Robinson, Sina Farsiu, Peyman Milanfar:
Optimal Registration Of Aliased Images Using Variable Projection With Applications To Super-Resolution. Comput. J. 52(1): 31-42 (2009) - 2008
- [j6]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Deblurring Using Regularized Locally Adaptive Kernel Regression. IEEE Trans. Image Process. 17(4): 550-563 (2008) - [c6]M. Dirk Robinson, Sina Farsiu, Joseph Y. Lo, Cynthia A. Toth:
Efficient restoration and enhancement of super-resolved X-ray images. ICIP 2008: 629-632 - 2007
- [j5]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Kernel Regression for Image Processing and Reconstruction. IEEE Trans. Image Process. 16(2): 349-366 (2007) - [c5]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Higher order bilateral filters and their properties. Computational Imaging 2007: 64980S - [c4]Sina Farsiu, Peyman Milanfar:
Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media. ICIP (3) 2007: 537-540 - 2006
- [j4]Sina Farsiu, Michael Elad, Peyman Milanfar:
Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences. EURASIP J. Adv. Signal Process. 2006 (2006) - [j3]Sina Farsiu, Michael Elad, Peyman Milanfar:
Multiframe demosaicing and super-resolution of color images. IEEE Trans. Image Process. 15(1): 141-159 (2006) - [c3]Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar:
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data. ICIP 2006: 1257-1260 - 2004
- [j2]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Advances and challenges in super-resolution. Int. J. Imaging Syst. Technol. 14(2): 47-57 (2004) - [j1]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10): 1327-1344 (2004) - [c2]Sina Farsiu, Michael Elad, Peyman Milanfar:
Multiframe demosaicing and super-resolution from undersampled color images. Computational Imaging 2004: 222-233 - 2003
- [c1]Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar:
Fast and robust super-resolution. ICIP (2) 2003: 291-294
Coauthor Index
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last updated on 2024-09-09 00:16 CEST by the dblp team
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