| Texture mapping 3D models of real-world scenes FM Weinhaus, V Devarajan ACM Computing Surveys (CSUR) 29 (4), 325-365, 1997 | 126 | 1997 |
| System and method for creating and updating a three-dimensional model and creating a related neutral file format V Devarajan, RG Iyer, S Barber, N Dharmarajan, S Ganapathi, ... US Patent 7,492,364, 2009 | 99 | 2009 |
| Artificial immune systems and aerial image segmentation DF McCoy, V Devarajan 1997 IEEE international conference on systems, man, and cybernetics …, 1997 | 86 | 1997 |
| A conceptual approach managing design resource F Wang, JJ Mills, V Devarajan Computers in Industry 47 (2), 169-183, 2002 | 77 | 2002 |
| Automatic identification of non-intersecting machining features from 2D CAD input LW Tyan, V Devarajan Computer-Aided Design 30 (5), 357-366, 1998 | 48 | 1998 |
| A contextual detector of surgical tools in laparoscopic videos using deep learning B Namazi, G Sankaranarayanan, V Devarajan Surgical endoscopy, 1-10, 2022 | 38 | 2022 |
| 1D and 2D structured mass-spring models with preload X Wang, V Devarajan The Visual Computer 21, 429-448, 2005 | 36 | 2005 |
| Computation complexity of branch-and-bound model selection N Thakoor, V Devarajan, J Gao 2009 IEEE 12th International Conference on Computer Vision, 1895-1900, 2009 | 29 | 2009 |
| Using a context-based inference approach to capture design intent from legacy CAD GR Iyer, JJ Mills, S Barber, V Devarajan, S Maitra Computer-Aided Design and Applications 3 (1-4), 269-278, 2006 | 29 | 2006 |
| Intersecting features extraction from 2D orthographic projections R Ganesan, V Devarajan Computer-Aided Design 30 (11), 863-873, 1998 | 29 | 1998 |
| Multibody structure-and-motion segmentation by branch-and-bound model selection N Thakoor, J Gao, V Devarajan IEEE Transactions on Image Processing 19 (6), 1393-1402, 2010 | 26 | 2010 |
| Analysis of call packing and rearrangement in a multi stage switch Y Mun, Y Tang, V Devarajan IEEE transactions on communications 42 (234), 252-254, 1994 | 22 | 1994 |
| Automatic detection of surgical phases in laparoscopic videos B Namazi, G Sankaranarayanan, V Devarajan Proceedings on the international conference in artificial intelligence (ICAI …, 2018 | 20 | 2018 |
| Generation of hierarchical multiresolution terrain databases using wavelet filtering DE McArthur, RW Fuentes, V Devarajan Photogrammetric engineering and remote sensing 66 (3), 287-296, 2000 | 20 | 2000 |
| Modular neural network architecture using piece-wise linear mapping S Subbarayan, KK Kim, MT Manry, V Devarajan, HH Chen Conference Record of The Thirtieth Asilomar Conference on Signals, Systems …, 1996 | 20 | 1996 |
| Haptic herniorrhaphy simulation with robust and fast collision detection algorithm JD Westwood Medicine Meets Virtual Reality 13: The Magical Next Becomes the Medical Now …, 2005 | 17 | 2005 |
| Simulation of alphanumeric machine print recognition MA Narasimhan, V DEVARAJAN | 16 | 1980 |
| Cal-Sal Walsh-Hadamard transform K Rao, V Devarajan, V Vlasenko, M Narasimhan IEEE Transactions on Acoustics, Speech, and Signal Processing 26 (6), 605-607, 1978 | 16 | 1978 |
| LapTool-Net: a contextual detector of surgical tools in laparoscopic videos based on recurrent convolutional neural networks B Namazi, G Sankaranarayanan, V Devarajan arXiv preprint arXiv:1905.08983, 2019 | 15 | 2019 |
| StapSim: A virtual reality-based stapling simulator for laparoscopic herniorrhaphy G Gopalakrishnan, V Devarajan Medicine Meets Virtual Reality 12, 111-113, 2004 | 15 | 2004 |
Ganesh SankaranarayananAssociate Professor, Department of Surgery, The University of Texas Southwestern Medical CenterVerified email at utsouthwestern.edu
