• Publications
  • Influence
Dynamic Contrast-Enhanced Magnetic Resonance Imaging
  • 129
  • 10
Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI
To evaluate the accuracy, reproducibility, and speed of two semiautomated methods for quantifying total white matter lesion burden in multiple sclerosis (MS) patients with respect to manual tracingExpand
  • 82
  • 5
  • Open Access
Detection of subpixel anomalies in multispectral infrared imagery using an adaptive Bayesian classifier
  • E. Ashton
  • Mathematics, Computer Science
  • IEEE Trans. Geosci. Remote. Sens.
  • 1 March 1998
The detection of subpixel targets with unknown spectral signatures and cluttered backgrounds in multispectral imagery is a topic of great interest for remote surveillance applications. Because noExpand
  • 94
  • 5
  • Open Access
Dynamic contrast-enhanced magnetic resonance imaging as a pharmacodynamic measure of response after acute dosing of AG-013736, an oral angiogenesis inhibitor, in patients with advanced solid tumors:
  • G. Liu, H. Rugo, +14 authors R. Herbst
  • Medicine
  • Journal of clinical oncology : official journal…
  • 20 August 2005
PURPOSE Identifying suitable markers of biologic activity is important when assessing novel compounds such as angiogenesis inhibitors to optimize the dose and schedule of therapy. Here we present theExpand
  • 254
  • 4
Scan‐rescan variability in perfusion assessment of tumors in MRI using both model and data‐derived arterial input functions
To evaluate the contribution to scan‐rescan coefficient of variation (CV) of patient‐specific arterial input function (AIF) measurement in dynamic contrast‐enhanced MRI (DCE‐MRI) data, and toExpand
  • 64
  • 4
Algorithms for the Detection of Su b-Pixel Targets in Multispectral Imagery
A new sub-pixel target detection algorithm is developed that integrates a linear mixing model (LMM) with the powefil "RX" anomaly detector of Reed and Yu (1990). RX is applied to mixing model errorsExpand
  • 81
  • 3
  • Open Access
A novel volumetric feature extraction technique with applications to MR images
A semiautomated feature extraction algorithm is presented for the extraction and measurement of the hippocampus from volumetric magnetic resonance imaging (MRI) head scans. This algorithm makes useExpand
  • 32
  • 3
  • Open Access
Multiple resolution Bayesian segmentation of ultrasound images
We propose a novel method for obtaining the maximum a posteriori (MAP) probabilistic segmentation of speckle-laden ultrasound images. Our technique is multiple-resolution based, and relies on theExpand
  • 25
  • 3
Phase 1 First-in-Human Trial of the Vascular Disrupting Agent Plinabulin (NPI-2358) in Patients with Solid Tumors or Lymphomas
Purpose: Plinabulin (NPI-2358) is a vascular disrupting agent that elicits tumor vascular endothelial architectural destabilization leading to selective collapse of established tumor vasculature.Expand
  • 61
  • 2
  • Open Access
Segmentation and Feature Extraction Techniques, with Applications to MRI Head Studies
To obtain a three‐dimensional reconstruction of the hippocampus from a volumetric MRI head study, it is necessary to separate that structure not only from the surrounding white matter, but also fromExpand
  • 54
  • 2