Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ravi Panchumarthy"'
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Convolutional neural network (CNN) models obtain state of the art performance on image classification, localization, and segmentation tasks. Limitations in computer hardware, most notably memory size in deep learning accelerator cards, prevent relati
Externí odkaz:
https://doaj.org/article/691c87d5ea044890970c2ce4b9bce4d6
Autor:
Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao, Orhun Güley, Sofia Mouchtaris, David Lang, Spyridon Thermos, Karol Gotkowski, Camila González, Caleb Grenko, Alexander Getka, Brandon Edwards, Micah Sheller, Junwen Wu, Deepthi Karkada, Ravi Panchumarthy, Vinayak Ahluwalia, Chunrui Zou, Vishnu Bashyam, Yuemeng Li, Babak Haghighi, Rhea Chitalia, Shahira Abousamra, Tahsin M. Kurc, Aimilia Gastounioti, Sezgin Er, Mark Bergman, Joel H. Saltz, Yong Fan, Prashant Shah, Anirban Mukhopadhyay, Sotirios A. Tsaftaris, Bjoern Menze, Christos Davatzikos, Despina Kontos, Alexandros Karargyris, Renato Umeton, Peter Mattson, Spyridon Bakas
Publikováno v:
Communications Engineering. 2
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms, and the variability of implementations hinders their reproducibility,
Autor:
Bhakti Baheti, Siddhesh Thakur, Sarthak Pati, Deepthi Karkada, Ravi Panchumarthy, Junwen Wu, Suyash Mohan, MacLean Nasrallah, Prashant Shah, Spyridon Bakas
Publikováno v:
Neuro-Oncology. 24:vii167-vii167
BACKGROUND Diffuse astrocytic glioma are common and aggressive malignant primary brain tumors with grim prognosis. Artificial intelligence (AI) has shown promise across predictive, prognostic, and diagnostic neuro-oncology applications, towards impro
Autor:
G. Anthony Reina, Ravi Panchumarthy
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030117221
BrainLes@MICCAI (1)
BrainLes@MICCAI (1)
Convolutional neural network models perform state of the art accuracy on image classification, localization, and segmentation tasks. A fully convolutional topology, such as U-Net, may be trained on images of one size and perform inference on images o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6984ff4596e7c6f59816866609b7e00c
https://doi.org/10.1007/978-3-030-11723-8_3
https://doi.org/10.1007/978-3-030-11723-8_3
Publikováno v:
Neuro Oncol
BACKGROUND Application of deep learning to neuro-oncology has shown promising clinically relevant results for tumor classification, localization, and segmentation. Hardware limitations, typically memory size of graphics cards, prevent magnetic resona
Publikováno v:
IEEE Transactions on Magnetics. 49:3545-3548
We present an image processing system-magnetic state estimator (MSE) to estimate the magnetization states of lithographically patterned single domain nano-magnets. The tool requires digital images of a magnetic force micrograph, an atomic force micro
Publikováno v:
Nature nanotechnology. 11(2)
The field of nanomagnetism has recently attracted tremendous attention as it can potentially deliver low-power, high-speed and dense non-volatile memories. It is now possible to engineer the size, shape, spacing, orientation and composition of sub-10
Publikováno v:
UCC
Biometric datasets are growing in size with time. Procurement of such datasets and resources for development and evaluation of biometric algorithms is expensive, time consuming and often requires expertise in systems software. Our goal in this projec
Publikováno v:
2011 11th IEEE International Conference on Nanotechnology.
The coupling among nano-magnets, placed at specific locations, but not necessarily in a regular grid, can be used to perform logic operations. We have developed an image-processing tool that will help one to automatically analyze and characterize ato