1 citations · 2 across the 6 of their papers we have counts for
6 papers
Stimulus-Evoked Network Dynamics in Human Cortical Organoids: From a Graph-Computational Framework to Repeated-Stimulation Depression
Esmaeil S. Nadimi, Vinay C. Gogineni, Jan-Matthias Braun +3
Human cortical organoids provide an experimentally accessible model of early neural circuit formation, yet whether their activity reflects structured information processing rather…
Using deep learning for predicting cleansing quality of colon capsule endoscopy images
Puneet Sharma, Kristian Dalsbø Hindberg, Benedicte Schelde-Olesen +3
In this study, we explore the application of deep learning techniques for predicting cleansing quality in colon capsule endoscopy (CCE) images. Using a dataset of 500 images labele…
Physics-informed Neural Operators for Predicting 3D Electromagnetic Fields Transformed by Metasurfaces
Orkun Furat, Vinay Chakravarthi Gogineni, Henrik Bindslev +1
Metasurfaces, typically realized as arrays of nanopillars, transform electromagnetic (EM) fields depending on their geometry and spatial arrangement. For solving the inverse proble…
An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images
Smith K. Khare, Berit Bargum Booth, Victoria Blanes-Vidal +2
Cervical cancer remains a major worldwide health issue, with early identification and risk assessment playing critical roles in effective preventive interventions. This paper prese…
Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway
Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen +3
Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of colorectal diseases, there remains a large gap between the current state of CCE i…
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi
Machine unlearning has garnered significant attention due to its ability to selectively erase knowledge obtained from specific training data samples in an already trained machine l…