| 2006 |
| 15 | EE | Andrew Litvin,
William Clement Karl,
Jayant Shah:
Shape and appearance modeling with feature distributions for image segmentation.
ISBI 2006: 1128-1131 |
| 2005 |
| 14 | EE | Jayant Shah:
Skeletons of 3D Shapes.
Scale-Space 2005: 339-350 |
| 13 | EE | Jayant Shah:
Gray skeletons and segmentation of shapes.
Computer Vision and Image Understanding 99(1): 96-109 (2005) |
| 2002 |
| 12 | EE | Mukund Desai,
David N. Kennedy,
Rami Mangoubi,
Jayant Shah,
C. Karl,
N. Markis,
Andrew J. Worth:
Diffusion tensor model based smoothing.
ISBI 2002: 705-708 |
| 11 | | Mukund Desai,
Rami Mangoubi,
Jayant Shah,
William Clement Karl,
David N. Kennedy,
Homer H. Pien,
Andrew J. Worth:
Functional MRI Activity Characterization Using Response Time Shift Estimates from Curve Evolution.
IEEE Trans. Med. Imaging 21(11): 1402-1412 (2002) |
| 2001 |
| 10 | EE | Jayant Shah:
Segmentation of Shapes.
Scale-Space 2001: 236-244 |
| 2000 |
| 9 | EE | Sibel Tari,
Jayant Shah:
Nested Local Symmetry Set.
Computer Vision and Image Understanding 79(2): 267-280 (2000) |
| 1999 |
| 8 | EE | Jayant Shah:
Riemannian Drums, Anisotropic Curve Evolution and Segmentation.
Scale-Space 1999: 129-140 |
| 1998 |
| 7 | EE | Jayant Shah:
Minimax Entropy and Learning by Diffusion.
CVPR 1998: 92-97 |
| 6 | | Sibel Tari,
Jayant Shah:
Local Symmetries of Shapes in Arbitrary Dimension.
ICCV 1998: 1123-1128 |
| 5 | | Jayant Shah:
Segmentation as a Riemannian Drum Problem.
ICIP (3) 1998: 766-769 |
| 1997 |
| 4 | EE | Z. Sibel Göktepe Tari,
Jayant Shah,
Homer H. Pien:
Extraction of Shape Skeletons from Grayscale Images.
Computer Vision and Image Understanding 66(2): 133-146 (1997) |
| 3 | | Homer H. Pien,
Mukund Desai,
Jayant Shah:
Segmentation of MR Images Using Curve Evolution and Prior Information.
IJPRAI 11(8): 1233-1245 (1997) |
| 1996 |
| 2 | EE | Jayant Shah:
A Common Framework for Curve Evolution, Segmentation and Anisotropic Diffusio.
CVPR 1996: 136-142 |
| 1 | EE | Jayant Shah,
Homer H. Pien,
John M. Gauch:
Recovery of surfaces with discontinuities by fusing shading and range data within a variational framework.
IEEE Transactions on Image Processing 5(8): 1243-1251 (1996) |