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Physics in Medicine and Biology|June 3, 2005
Feasibility of using interstitial ultrasound for intradiscal thermal therapy: a study in human cadaver lumbar discsWilliam H Nau, Chris J Diederich, Richard ShuFortschritte Der Neurologie-Psychiatrie|April 12, 2000
[Visual hallucinations in Parkinson and Charles Bonnet Syndrome patients. A phenomenological and pathogenetic comparison]N J Diederich, V Pieri, C G GoetzJournal of Biomechanical Engineering|February 1, 1989
A spherical source model for the thermal pulse decay method of measuring blood perfusion: a sensitivity analysisC J Diederich, S Clegg, R B RoemerMedical Physics|September 1, 1994
An improved bolus configuration for commercial multielement ultrasound and microwave hyperthermia systemsC J Diederich, P R Stauffer, D BozzoMammalian Genome : Official Journal of the International Mammalian Genome Society|May 12, 2011
Parkinson's disease mouse models in translational researchPaul M A Antony, Nico J Diederich, Rudi BallingMedical Physics|August 8, 2001
Evaluation of multielement catheter-cooled interstitial ultrasound applicators for high-temperature thermal therapyW H Nau, C J Diederich, E C BurdetteJournal of the American Medical Directors Association|May 5, 2016
Contributory Factors to Caregiver Burden in Parkinson DiseaseDaniel Grün, Vannina Pieri, Michel Vaillant, et al.International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group|April 14, 2000
Directional power deposition from direct-coupled and catheter-cooled interstitial ultrasound applicatorsW H Nau, C J Diederich, P R StaufferMovement Disorders : Official Journal of the Movement Disorder Society|October 16, 2004
Repeated visual hallucinations in Parkinson's disease as disturbed external/internal perceptions: focused review and a new integrative modelNico J Diederich, Christopher G Goetz, Glenn T StebbinsIEEE Transactions on Neural Networks|February 8, 2008
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networksA B Tickle, R Andrews, M Golea, et al.Pageof 41