A hybrid neural network analysis of subtle brain volume differences in children surviving brain tumors.

[1]  J. Hirsch,et al.  [Medulloblastoma in childhood. Survival rates and functional results (author's transl)]. , 1978, Neuro-Chirurgie.

[2]  J. Marks,et al.  Cerebral radionecrosis: incidence and risk in relation to dose, time, fractionation and volume. , 1981, International journal of radiation oncology, biology, physics.

[3]  S. Kramer,et al.  Assessment of the long‐term effects of primary radiation. Therapy for brain tumors in children , 1982, Cancer.

[4]  P. Duffner,et al.  Late effects of treatment on the intelligence of children with posterior fossa tumors , 1983, Cancer.

[5]  R. Mulhern,et al.  Quality of life in children treated for brain tumors. Intellectual, emotional, and academic function. , 1983, Journal of neurosurgery.

[6]  W. Hobbie,et al.  The medical consequences of cure , 1986, Cancer.

[7]  E. Ellis,et al.  Effect of dexamethasone, indomethacin, ibuprofen, and probenecid on carrageenan-induced brain inflammation. , 1986, Journal of neurosurgery.

[8]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[9]  S. Leibel,et al.  Tolerance of the brain and spinal cord to conventional irradiation , 1991 .

[10]  David M. Skapura,et al.  Neural networks - algorithms, applications, and programming techniques , 1991, Computation and neural systems series.

[11]  Philip H. Gutin,et al.  Radiation Injury to the Nervous System , 1991 .

[12]  R. Mulhern,et al.  Neuropsychological status of children treated for brain tumors: a critical review and integrative analysis. , 1992, Medical and pediatric oncology.

[13]  Yoshiyasu Takefuji,et al.  Optimization neural networks for the segmentation of magnetic resonance images , 1992, IEEE Trans. Medical Imaging.

[14]  R. Mulhern,et al.  Behavioral resiliency among children surviving brain tumors : a longitudinal study , 1993 .

[15]  James C. Bezdek,et al.  Generalized clustering networks and Kohonen's self-organizing scheme , 1993, IEEE Trans. Neural Networks.

[16]  Benoit M. Dawant,et al.  Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study , 1993, IEEE Trans. Medical Imaging.

[17]  J H Simon,et al.  Quantitation of grey matter, white matter, and cerebrospinal fluid from spin-echo magnetic resonance images using an artificial neural network technique. , 1994, Medical physics.

[18]  G D Pearlson,et al.  Magnetic resonance imaging measurement of gray matter volume reductions in HIV dementia. , 1995, The American journal of psychiatry.

[19]  H. Withers,et al.  Induction of acute phase gene expression by brain irradiation. , 1995, International journal of radiation oncology, biology, physics.

[20]  R P Velthuizen,et al.  Unsupervised Measurement of Brain Tumor Volume on MR Images , 1995, Journal of magnetic resonance imaging : JMRI.

[21]  M. Knopp,et al.  Effect of radiation on blood volume in low-grade astrocytomas and normal brain tissue: quantification with dynamic susceptibility contrast MR imaging. , 1996, AJR. American journal of roentgenology.

[22]  Jzau-Sheng Lin,et al.  The application of competitive Hopfield neural network to medical image segmentation , 1996, IEEE Trans. Medical Imaging.

[23]  Stephen M. Rao.  White Matter Disease and Dementia , 1996, Brain and Cognition.

[24]  Edwin N. Cook,et al.  Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks , 1997, IEEE Transactions on Medical Imaging.