Next: About this document ...
Up: No Title
Previous: Acknowledgements
- 1
-
N. Leeds and E. Jackson, ``Current imaging techniques for the evaluation of
brain neoplasms,'' Current Science, vol. 6, pp. 254-261, 1994.
- 2
-
N. Laperrire and M. Berstein, ``Radiotherapy for brain tumors,'' CA - A
Cancer Journal for Clinicians, vol. 4, pp. 96-108, 1994.
- 3
-
R. Velthuizen, L. Hall, and L. Clarke, ``Unsupervised fuzzy segmentation of
3D magnetic resonance brain images,'' in Proceedings of the
IS&TSPIE 1993 International Symposium on Electronic Images: Science &
Technology, vol. 1905, pp. 627-635, 1993.
San Jose, CA, Jan 31-Feb 4.
- 4
-
R. Murtagh, S. Phuphanich, N. Imam, L. Clarke, M. Vaidyanathan, and
et.al., ``Novel methods of evaluating the growth response patterns of
treated brain tumors,'' Cancer Control, pp. 293-299, 1995.
- 5
-
L. Feun, ``Double-blind randomized trial of the anti-progestational agent
mifepristone in the treatment of unresectable meningioma, phase iii,'' Tech.
Rep. SWOG-9005, University of South Florida, Tampa, Fl., Southwest Oncology
Group, 1995.
- 6
-
L. Clarke, R. Velthuizen, M. Clark, G. Gaviria, L. Hall, D. Goldgof, and
et al, ``MRI measurement of brain tumor response: Comparison of visual
metric and automatic segmentation.'' Submitted to Magnetic Resonance Imaging,
June 1997.
- 7
-
T. Taxt and A. Lundervold, ``Multispectral analysis of the brain in magnetic
resonance imaging,'' in IEEE Workshop on Biomedical Image Analysis,
pp. 33-42, 1994.
Los Alamitos, CA, USA.
- 8
-
T. Taxt and A. Lundervold, ``Multispectral analysis of the brain using magnetic
resonance imaging,'' IEEE TMI, vol. 13, pp. 470-481, September 1994.
- 9
-
M. Vannier, C. Speidel, and D. Rickmans, ``Magnetic resonance imaging
multispectral tissue classification,'' News Physiol Sci, vol. 3,
pp. 148-154, August 1988.
- 10
-
M. Vannier, R. Butterfield, D. Jordan, and et al, ``Multispectral
analysis of magnetic resonance images,'' Radiology, vol. 154,
pp. 221-224, January 1985.
- 11
-
R. Kikinis, M. Shenton, G. Gerig, and et al, ``Routine quantitative
analysis of brain and cerebrospinal fluid spaces with MR imaging,''
JMRI, vol. 2, pp. 619-629, 1992.
- 12
-
G. Gerig, J. Martin, R. Kikinis, and et al, ``Automating segmentation of
dual-echo MR head data,'' in The 12th International Conference of
Information Processing in Medical Imaging (IPMI 1991), 1991.
- 13
-
X. Li, S. Bhide, and M. Kabuka, ``Labeling of MR brain images using boolean
neural network,'' IEEE TMI, vol. 15, no. 2, pp. 628-638, 1996.
- 14
-
E. Kischell, N. Kehtarnavaz, G. Hillman, H. Levin, M. Lilly, and T. Kent,
``Classification of brain compartments and head injury lesions by neural
networks applied to MRI,'' Neuroradiology, vol. 37, pp. 535-541,
1995.
- 15
-
M. Özkan, B. Dawant, and R. Maciunas, ``Neural-network-based segmentation
of multi-modal medical images: A comparative and prospective study,''
IEEE TMI, vol. 12, pp. 534-545, September 1993.
- 16
-
G. Hillman, C. Chang, H. Ying, and et al, ``Automatic system for brain
MRI analysis using a novel combination of fuzzy rule-based and automatic
clustering techniques.,'' in Medical Imaging 1995: Image Processing,
pp. 16-25, SPIE, February 1995.
San Diego, CA.
- 17
-
A. Namasivayam and L. Hall, ``Integrating fuzzy rules into the fast, robust
segmentation of magnetic resonance images,'' in New Frontiers in Fuzzy
Logic and Soft Computing Biennial Conference of the North American Fuzzy
Information Processing Society - NAFIPS 1996, pp. 23-27, 1996.
Piscataway, NJ.
- 18
-
W. Menhardt and K. Schmidt, ``Computer vision on magnetic resonance images,''
Pattern Recognition Letters, vol. 8, pp. 73-85, September 1988.
- 19
-
S. Dellepiane, G. Venturi, and G. Vernazza, ``A fuzzy model for the processing
and recognition of MR pathological images,'' in IPMI 1991,
pp. 444-457, 1991.
- 20
-
M. Kamber, R. Shingal, D. Collins, G. Francis, and A. Evans, ``Model-based 3D
segmentation of multiple sclerosis lesions in magnetic resonance brain
images,'' IEEE TMI, vol. 14, no. 3, pp. 442-453, 1995.
- 21
-
C. Li, D. Goldgof, and L. Hall, ``Automatic segmentation and tissue labeling of
MR brain images,'' IEEE TMI, vol. 12, pp. 740-750, December 1993.
- 22
-
M. Clark, L. Hall, C. Li, and D. Goldgof, ``Knowledge based (re-)clustering,''
in Proceedings of the 12th IAPR International Conference on Pattern
Recognition, pp. 245-250, 1994.
Jerusalem, Israel.
- 23
-
M. Clark, L. Hall, D. Goldgof, and et al, ``MRI segmentation using
fuzzy clustering techniques: Integrating knowledge,'' IEEE Engineering
in Medicine and Biology, vol. 13, no. 5, pp. 730-742, 1994.
- 24
-
L. Clarke, R. Velthuizen, M. Camacho, J. Heine, M. Vaydianathan, L. Hall,
R. Thatcher, and M. Silbiger, ``MRI segmentation: Methods and
applications,'' Magnetic Resonance Imaging, vol. 12, no. 3,
pp. 343-368, 1995.
- 25
-
R. Cannon, J. Dave, and J. Bezdek, ``Efficient implementation of the fuzzy
c-mean clustering algorithms,'' IEEE Transactions on Pattern Analysis
and Machine Intelligence, vol. 8, no. 2, pp. 248-255, 1986.
- 26
-
L. Hall, A. Bensaid, L. Clarke, and et al, ``A comparison of neural
network and fuzzy clustering techniques in segmenting magnetic resonance
images of the brain,'' IEEE Transactions on Neural Networks, vol. 3,
no. 5, pp. 672-682, 1992.
- 27
-
G. Riley, ``Version 4.3 CLIPS reference manual,'' Tech. Rep. JSC-22948,
Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1989.
- 28
-
J. Giarratano and G. Riley, Expert Systems: Principles and Programming.
Boston: PWS Publishing, second ed., 1994.
- 29
-
R. Novelline and L. Squire, Living Anatomy.
Hanley and Belfus, 1987.
- 30
-
H. Schnitzlein and F. R. Murtaugh, Imaging Anatomy of the Head and Spine:
A Photographic Color Atlas of MRI, CT, Gross, and Microscopic Anatomy
in Axial, Coronal, and Sagittal Planes.
Baltimore: Urban & Schwarzenberg, second ed., 1990.
- 31
-
R. Price and et al, ``Quality assurance methods and phantoms for magnetic
resonance imaging: Report of AAPM nuclear magnetic resonance Task
Group No. 1,'' Medical Physics, vol. 17, no. 2, pp. 287-295, 1990.
- 32
-
T. Taxt, A. Lundervold, B. Fuglaas, H. Lien, and V. Abeler, ``Multispectral
analysis of uterine corpus tumors in magnetic resonance imaging,''
Magnetic Resonance in Medicine, vol. 23, pp. 55-76, 1992.
- 33
-
R. B. Lufkin, The MRI Manual.
Year Book Medical Publishers, Inc., 1990.
- 34
-
T. C. Farrar, An Introduction to Pulse NMR Spectroscopy.
Farragut Press, 1987.
- 35
-
D. D. Stark and J. William G. Bradley, Magnetic Resonance Imaging, Second
Ed., Volume One.
Mosby Year Book, 1992.
- 36
-
C. Li, ``Knowledge based classification and tissue labeling of magnetic
resonance images of the brain,'' Master's thesis, University of South
Florida, 1993.
- 37
-
A. Jain, Fundamentals of Digital Image Processing.
Englewood Cliffs,NJ: Prentice Hall, 1989.
- 38
-
P. Bottomley, T. Foster, R. Argersinger, and L. Pfeiffer, ``A review of normal
tissue hydrogen NMR relaxation times and relaxation mechanisms from 1-100
MHz: Dependency on tissue type, NMR frequency, temperature, species,
excision and age,'' Medical Physics, vol. 11, pp. 425-448, 1984.
- 39
-
R. Hendrick and E. Haacke, ``Basic physics of MR contrast agents and
maximization of image contrast,'' JMRI, vol. 3, no. 1, pp. 137-148,
1993.
- 40
-
R. Jain, R. Kasturi, and B. Schunck, Machine Vision.
McGraw-Hill, Inc., 1995.
- 41
-
R. Velthuizen and L. Clarke, ``An interface for validation of MR image
segmentations,'' in Proceedings of the 16th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society,
pp. 547-548, 1994.
- 42
-
R. Galloway, R. Maciunas, and A. Failinger, ``Factors affecting perceived tumor
volumes in magnetic resonance imaging,'' Annals of Biomedical
Engineering, vol. 21, pp. 367-375, 1993.
- 43
-
F. Murtaugh, ``Discussions held with Dr. F. Reed Murtaugh, M.D., Dept. of
Radiology, University of South Florida,'' October, 22 1997.
- 44
-
M. Vaidyanathan, L. Clarke, R. Velthuizen, S. Phuphanich, A. Bensaid, L. Hall,
J. Bezdek, H. Greenberg, A. Trotti, and M. Silbiger, ``Comparison of
supervised MRI segmentation methods for tumor volume determination during
therapy.,'' Magnetic Resonance Imaging, vol. 13, no. 5, pp. 719-728,
1995.
- 45
-
B. Dasarthy, Nearest Neighbor (NN) Norms: NN Pattern Classification
Techniques.
IEEE Computer Society Press, Los Alamitos, Ca., 1991.
- 46
-
M. Vaidyanathan, L. Clarke, C. Heidman, R. Velthuizen, and L. Hall, ``Normal
brain volume measurement using multispectral MRI segmentation,''
Magnetic Resonance Imaging, vol. 15, no. 1, pp. 87-97, 1997.
- 47
-
M. Vaidyanathan, R. Velthuizen, P. Venugopal, and L. Clarke, ``Tumor volume
measurements using supervised and semi-supervised MRI segmentation
methods,'' in Artificial Neural Networks in Engineering - Proceedings
(ANNIE 1994), vol. 4, pp. 629-637, 1994.
- 48
-
R. Bronen and G. Sze, ``Magnetic resonance imaging contrast agents: Theory
and application to the central nervous system,'' Journal of
Neurosurgery, vol. 73, pp. 820-839, 1990.
- 49
-
S. Amartur, D. Piriano, and Y. Takefuji, ``Optimization neural networks for the
segmentation of magnetic resonance images,'' IEEE TMI, vol. 11,
pp. 215-221, June 1992.
Larry Hall
4/29/1998