141 citations · 207 across the 6 of their papers we have counts for
6 papers
Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systems
Afifah Kashif, Abdul Muhsin Hameed, Asim Iqbal
Current AI governance frameworks, including regulatory benchmarks for accuracy, latency, and energy efficiency, are built for static, centrally trained artificial neural networks o…
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri +17
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders.…
Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration
Hassan Mahmood, Asim Iqbal, Syed Mohammed Shamsul Islam
Image registration is a widely-used technique in analysing large scale datasets that are captured through various imaging modalities and techniques in biomedical imaging such as MR…
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
Asim Iqbal, Phil Dong, Christopher M Kim +1
Finding a code to unravel the population of neural responses that leads to a distinct animal behavior has been a long-standing question in the field of neuroscience. With the recen…
Exploring Brain-wide Development of Inhibition through Deep Learning
Asim Iqbal, Asfandyar Sheikh, Theofanis Karayannis
We introduce here a fully automated convolutional neural network-based method for brain image processing to Detect Neurons in different brain Regions during Development (DeNeRD). O…
Developing Brain Atlas through Deep Learning
Asim Iqbal, Romesa Khan, Theofanis Karayannis
Neuroscientists have devoted significant effort into the creation of standard brain reference atlases for high-throughput registration of anatomical regions of interest. However, v…