activity
20162022
most citedRecurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

445 citations · 897 across the 7 of their papers we have counts for

collaborators

10 papers

cs.ET2022★ 2 cited

A Compact Model of Interface-Type Memristors Linking Physical and Device Properties

T. F. Tiotto, A. S. Goossens, A. E. Dima +4

Memristors are an electronic device whose resistance depends on the voltage history that has been applied to its two terminals. Despite its clear advantage as a computational eleme…

cs.NE2019

High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons

Chris Yakopcic, Nayim Rahman, Tanvir Atahary +3

Cognitive agents are typically utilized in autonomous systems for automated decision making. These systems interact at real time with their environment and are generally heavily po…

cs.CV2018★ 4 cited

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1

The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior performance in different moda…

cs.CV2018★ 11 cited

Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches

Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1

Due to cellular heterogeneity, cell nuclei classification, segmentation, and detection from pathological images are challenging tasks. In the last few years, Deep Convolutional Neu…

cs.CV2018★ 435 cited

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic +6

Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of machine learning has been growing rapidly and applied i…

cs.CV2018

Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System

Md Zahangir Alom, Theodore Josue, Md Nayim Rahman +3

In the last decade, special purpose computing systems, such as Neuromorphic computing, have become very popular in the field of computer vision and machine learning for classificat…