User profiles for J. Grinband
 | Jack GrinbandAssistant Professor, Psychiatry & Radiology, Columbia University Verified email at columbia.edu Cited by 3248 |
[HTML][HTML] Optimizing neuro-oncology imaging: a review of deep learning approaches for glioma imaging
Radiographic assessment with magnetic resonance imaging (MRI) is widely used to
characterize gliomas, which represent 80% of all primary malignant brain tumors. Unfortunately, …
characterize gliomas, which represent 80% of all primary malignant brain tumors. Unfortunately, …
[HTML][HTML] A neural representation of categorization uncertainty in the human brain
The ability to classify visual objects into discrete categories ("friend" versus "foe"; "edible"
versus "poisonous") is essential for survival and is a fundamental cognitive function. The …
versus "poisonous") is essential for survival and is a fundamental cognitive function. The …
Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas
P Chang, J Grinband, BD Weinberg… - American Journal …, 2018 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new
emphasis on the integration of genetic information for gliomas. While tissue sampling remains …
emphasis on the integration of genetic information for gliomas. While tissue sampling remains …
Imaging genetic heterogeneity in glioblastoma and other glial tumors: review of current methods and future directions
OBJECTIVE. The purpose of this review is to summarize advances in the molecular analysis
of gliomas, the role genetics plays in MRI features, and how machine-learning approaches …
of gliomas, the role genetics plays in MRI features, and how machine-learning approaches …
Detection of time-varying signals in event-related fMRI designs
In neuroimaging research on attention, cognitive control, decision-making, and other areas
where response time (RT) is a critical variable, the temporal variability associated with the …
where response time (RT) is a critical variable, the temporal variability associated with the …
The dorsal medial frontal cortex is sensitive to time on task, not response conflict or error likelihood
The dorsal medial frontal cortex (dMFC) is highly active during choice behavior. Though
many models have been proposed to explain dMFC function, the conflict monitoring model is …
many models have been proposed to explain dMFC function, the conflict monitoring model is …
Hybrid 3D/2D convolutional neural network for hemorrhage evaluation on head CT
PD Chang, E Kuoy, J Grinband… - American Journal …, 2018 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology
for image recognition. This study evaluates a convolutional neural network optimized for the …
for image recognition. This study evaluates a convolutional neural network optimized for the …
[HTML][HTML] Going, going, gone: characterizing the time-course of congruency sequence effects
Performance on traditional selective attention tasks, like the Stroop and flanker protocols, is
subject to modulation by trial history, whereby the magnitude of congruency (or conflict) …
subject to modulation by trial history, whereby the magnitude of congruency (or conflict) …
Dopamine D1R receptor stimulation as a mechanistic pro-cognitive target for schizophrenia
Decades of research have highlighted the importance of optimal stimulation of cortical
dopaminergic receptors, particularly the D1R receptor (D1R), for prefrontal-mediated cognition. …
dopaminergic receptors, particularly the D1R receptor (D1R), for prefrontal-mediated cognition. …
A multiparametric model for mapping cellularity in glioblastoma using radiographically localized biopsies
…, LH Schwartz, A Lignelli, J Grinband… - American Journal …, 2017 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The complex MR imaging appearance of glioblastoma is
a function of underlying histopathologic heterogeneity. A better understanding of these …
a function of underlying histopathologic heterogeneity. A better understanding of these …