An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation
…, SC Huang, ZZ Wang, D Ho - IEEE transactions on …, 1996 - ieeexplore.ieee.org
An unbiased algorithm of generalized linear least squares (GLLS) for parameter estimation
of nonuniformly sampled biomedical systems is proposed. The basic theory and detailed …
of nonuniformly sampled biomedical systems is proposed. The basic theory and detailed …
Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education
S Gencan, Ş Tan - Kastamonu Education Journal, 2025 - dergipark.org.tr
… karşılaştırılmış ve DINA, DINO, HO-DINA ve HO-DINO modellerinin hangi koşullar altında
benzer ya … doğruluklarını veren modellerin DINO ve HO-DINO modelleri olduğu tespit edilmiştir. …
benzer ya … doğruluklarını veren modellerin DINO ve HO-DINO modelleri olduğu tespit edilmiştir. …
Generalized linear least squares method for fast generation of myocardial blood flow parametric images with N-13 ammonia PET
…, D Feng, SC Huang, D Bandy, D Ho… - … on Medical imaging, 1998 - ieeexplore.ieee.org
In this paper, the authors developed and tested strategies for estimating myocardial blood
flow (MBF) and generating MBF parametric images using positron emission tomography (PET)…
flow (MBF) and generating MBF parametric images using positron emission tomography (PET)…
[PDF][PDF] Enhancing Human Detection in Occlusion-Heavy Disaster Scenarios: A Visibility-Enhanced DINO (VE-DINO) Model with Reassembled Occlusion Dataset
… With a ResNet-50 backbone, DINO achieves an impressive average precision of 49.4 with …
the visibility-enhanced DINO (VE-DINO), which incorporates the original DINO with a visibility-…
the visibility-enhanced DINO (VE-DINO), which incorporates the original DINO with a visibility-…
Rapid algorithms for the construction of cerebral blood flow and oxygen utilization images with oxygen-15 and dynamic positron emission tomography
D Ho, D Feng - Computer methods and programs in biomedicine, 1999 - Elsevier
Two rapid estimation algorithms for construction of cerebral blood flow (CBF) and oxygen
utilization (CMRO) images with dynamic positron emission tomography (PET) are presented. …
utilization (CMRO) images with dynamic positron emission tomography (PET) are presented. …
Dynamic image data compression in spatial and temporal domains: Theory and algorithm
Advanced medical imaging requires storage of large quantities of digitized clinical data. These
data must be stored in such a way that their retrieval does not impair the clinician's ability …
data must be stored in such a way that their retrieval does not impair the clinician's ability …
DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring
… • The success of this method is driven by DINO-LG, a transformer-based selfsupervised … •
We propose a novel training technique, developed to train a DINO model for targeted tasks by …
We propose a novel training technique, developed to train a DINO model for targeted tasks by …
Digital signal processing and compression for functional images
D Ho, D Feng - … on Intelligent Processing Systems (Cat. No …, 1997 - ieeexplore.ieee.org
An algorithm for diagnostically lossless dynamic image data compression is proposed. The
theory and implementation of this algorithm are presented. Taking advantage of domain …
theory and implementation of this algorithm are presented. Taking advantage of domain …
[HTML][HTML] Grounding DINO and distillation-enhanced model for advanced traffic sign detection and classification in autonomous vehicles
… We evaluate our framework on the custom DINO>SRBv1 dataset, where the GroundingDINO
Pro model achieves a mAP@50 of 68.52%. The self-distilled network further reduces model …
Pro model achieves a mAP@50 of 68.52%. The self-distilled network further reduces model …
Simultaneous analysis of noisy signals obtained from multiple experiments, with application to deriving brain functional images
We proposed a new approach based on the linear least square method for the simultaneous
analysis of noisy signals obtained from multiple experiments. To demonstrate the …
analysis of noisy signals obtained from multiple experiments. To demonstrate the …