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René E Vidal, PhD
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Rachleff University Professor
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Department: Radiology
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Contact information
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Department of Radiology
3f Perelman School of Medicine, University of Pennsylvania
35 3400 Spruce Street
Philadelphia, PA 19104
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3f Perelman School of Medicine, University of Pennsylvania
35 3400 Spruce Street
Philadelphia, PA 19104
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Email:
vidalr@seas.upenn.edu
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vidalr@seas.upenn.edu
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Education:
21 9 B.S. 43 (Industrial Engineering - Electricity (Summa Cum Laude)) c
35 Catholic University of Chile, 1995.
21 7 MS 2c (Engineering - Automatic Control) c
35 Catholic University of Chile, 1997.
21 c Diploma 43 (Industrial Engineering - Electricity (Summa Cum Laude)) c
35 Catholic University of Chile, 1997.
21 7 MS 38 (Electrical Engineering and Computer Science) c
3d University of California at Berkeley, 2000.
21 a Ph.D. 38 (Electrical Engineering and Computer Science) c
3d University of California at Berkeley, 2003.
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Permanent link21 9 B.S. 43 (Industrial Engineering - Electricity (Summa Cum Laude)) c
35 Catholic University of Chile, 1995.
21 7 MS 2c (Engineering - Automatic Control) c
35 Catholic University of Chile, 1997.
21 c Diploma 43 (Industrial Engineering - Electricity (Summa Cum Laude)) c
35 Catholic University of Chile, 1997.
21 7 MS 38 (Electrical Engineering and Computer Science) c
3d University of California at Berkeley, 2000.
21 a Ph.D. 38 (Electrical Engineering and Computer Science) c
3d University of California at Berkeley, 2003.
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117 McKay GN, Oommen A, Pacheco C, Chen MT, Ray SC, Vidal R, Haeffele BD, Durr NJ.: Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Transactions on Biomedical Engineering 21, Sep 2022.
11b Pacheco C, McKay GN, Oommen A, Durr NJ, Vidal R, Haeffele BD: Adaptive Sparse Reconstruction for Lensless digital Holography via PSF Estimation and Phase Retrieval. Optics Express 30(19): 33433-33448 Sep 2022.
e8 Bejar B, Dokmanic I, Vidal R. : The Fastest l1,∞ Prox in the West. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(7): 3858-3869, Jul 2022.
11b You C, Li C, Robinson DP, Vidal R. : Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(5): 2698-2711, May 2022.
13c Guilherme França, Daniel P Robinson, René Vidal: Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization. Physical Review. E 103(5-1): 053304, May 2021 Notes: DOI: 10.1103/PhysRevE.103.053304.
116 Haeffele B., Vidal R.: Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications IEEE Transactions on Pattern Analysis and Machine Intelligence 42(6): 1468-1482, June 2020.
10a Pacheco C., René Vidal R : An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. In Medical Image Computing and Computer Assisted Intervention 2019.
141 Zhu Z., Ding T., Tsakiris M., Robinson D., Vidal R: A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. In Neural Information Processing Systems 2019.
e7 You C., Li C., Robinson D., Vidal R: Is an Affine Constraint Needed for Affine Subspace Clustering? In IEEE International Conference on Computer Vision 2019.
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Selected Publications
103 R. Vidal and S. Sastry: Segmentation of Dynamic Scenes from Image Intensities. IEEE Workshop on Vision and Motion Computing Page: 44-49, Dec 2022 Notes: DOI: 10.1109/MOTION.2002.1182212.117 McKay GN, Oommen A, Pacheco C, Chen MT, Ray SC, Vidal R, Haeffele BD, Durr NJ.: Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Transactions on Biomedical Engineering 21, Sep 2022.
11b Pacheco C, McKay GN, Oommen A, Durr NJ, Vidal R, Haeffele BD: Adaptive Sparse Reconstruction for Lensless digital Holography via PSF Estimation and Phase Retrieval. Optics Express 30(19): 33433-33448 Sep 2022.
e8 Bejar B, Dokmanic I, Vidal R. : The Fastest l1,∞ Prox in the West. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(7): 3858-3869, Jul 2022.
11b You C, Li C, Robinson DP, Vidal R. : Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(5): 2698-2711, May 2022.
13c Guilherme França, Daniel P Robinson, René Vidal: Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization. Physical Review. E 103(5-1): 053304, May 2021 Notes: DOI: 10.1103/PhysRevE.103.053304.
116 Haeffele B., Vidal R.: Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications IEEE Transactions on Pattern Analysis and Machine Intelligence 42(6): 1468-1482, June 2020.
10a Pacheco C., René Vidal R : An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. In Medical Image Computing and Computer Assisted Intervention 2019.
141 Zhu Z., Ding T., Tsakiris M., Robinson D., Vidal R: A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. In Neural Information Processing Systems 2019.
e7 You C., Li C., Robinson D., Vidal R: Is an Affine Constraint Needed for Affine Subspace Clustering? In IEEE International Conference on Computer Vision 2019.
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