1
On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks
2
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning
3
From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review
4
Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
5
Binary CorNET: Accelerator for HR Estimation From Wrist-PPG
6
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support
7
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators
8
Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads
9
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems
10
Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions
11
Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
12
Robust ECG R-peak detection using LSTM
13
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
14
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
15
Human ownership of artificial creativity
16
Artificial Intelligence in Healthcare: Review and Prediction Case Studies
17
The Application of Deep Learning in Cancer Prognosis Prediction
18
A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications
19
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
20
Training Progressively Binarizing Deep Networks using FPGAs
21
Fully hardware-implemented memristor convolutional neural network
22
International evaluation of an AI system for breast cancer screening
23
TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition
24
Are All Deep Learning Architectures Alike for Point‐of‐Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise
25
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems
26
Fully Integrated Spiking Neural Network with Analog Neurons and RRAM Synapses
27
A Deep Neural Network Accelerator Based on Tiled RRAM Architecture
28
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
29
Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor
30
Sparse Ensemble Machine Learning to improve robustness of long-term decoding in iBMIs
31
A Neuromorphic Device for Detecting High-Frequency Oscillations in Human iEEG
32
Variation-aware Binarized Memristive Networks
33
An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset
34
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
35
ECG-based Heartbeat Classification in Neuromorphic Hardware
36
Towards Intelligent Intra-cortical BMI (i2BMI): Low-power Neuromorphic Decoders that outperform Kalman Filters
37
Towards pixel-to-pixel deep nucleus detection in microscopy images
38
Eligibility traces provide a data-inspired alternative to backpropagation through time
39
Survey and Benchmarking of Machine Learning Accelerators
40
Deep convolutional neural network VGG-16 model for differential diagnosing of papillary thyroid carcinomas in cytological images: a pilot study
41
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
42
Edge computing in smart health care systems: Review, challenges, and research directions
43
Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms
44
Edge-AI in LoRa-based Health Monitoring: Fall Detection System with Fog Computing and LSTM Recurrent Neural Networks
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A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
46
Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network
47
Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems
48
Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT
49
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL
50
Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA
51
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
52
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge
53
Deep Learning in the Biomedical Applications: Recent and Future Status
54
[DL] A Survey of FPGA-based Neural Network Inference Accelerators
55
Memristive crossbar arrays for brain-inspired computing
56
Analog Weights in ReRAM DNN Accelerators
57
MR‐based treatment planning in radiation therapy using a deep learning approach
58
The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment
59
Transfusion: Understanding Transfer Learning for Medical Imaging
60
Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware
61
7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16
62
7.1 An 11.5TOPS/W 1024-MAC Butterfly Structure Dual-Core Sparsity-Aware Neural Processing Unit in 8nm Flagship Mobile SoC
63
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
64
Deep learning for image analysis: Personalizing medicine closer to the point of care
65
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision
66
A guide to deep learning in healthcare
67
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
68
SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification
69
Real-time Closed Loop Neural Decoding on a Neuromorphic chip
70
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks
71
Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
72
Synaptic Plasticity Dynamics for Deep Continuous Local Learning
73
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
74
Dendritic cortical microcircuits approximate the backpropagation algorithm
75
NURIP: Neural Interface Processor for Brain-State Classification and Programmable-Waveform Neurostimulation
76
Processing EMG signals using reservoir computing on an event-based neuromorphic system
77
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study
78
Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning
79
SLAYER: Spike Layer Error Reassignment in Time
80
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture
81
Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits
82
Smart-Log: A Deep-Learning Based Automated Nutrition Monitoring System in the IoT
83
Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks
84
CLINK: Compact LSTM Inference Kernel for Energy Efficient Neurofeedback Devices
85
An FPGA-Based Brain Computer Interfacing Using Compressive Sensing and Machine Learning
86
Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System
87
FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes)
88
Equivalent-accuracy accelerated neural-network training using analogue memory
89
Neuromorphic Vision Hybrid RRAM-CMOS Architecture
90
PULP-HD: Accelerating Brain-Inspired High-Dimensional Computing on a Parallel Ultra-Low Power Platform
91
A 0.086-mm$^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS
92
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
93
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
94
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
95
Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection
96
Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features.
97
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
98
PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks
100
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
101
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
102
Deep Learning with Edge Computing for Localization of Epileptogenicity Using Multimodal rs-fMRI and EEG Big Data
103
HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition
104
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography
105
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
106
Neural network based ECG anomaly detection on FPGA and trade-off analysis
107
In-datacenter performance analysis of a tensor processing unit
108
An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS
109
A Hybrid CMOS-Memristor Neuromorphic Synapse
110
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
111
14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI
112
Dermatologist-level classification of skin cancer with deep neural networks
113
Cambricon-X: An accelerator for sparse neural networks
114
Reconfigurable analog classifier for knee-joint rehabilitation
115
Decoding EEG and LFP signals using deep learning: heading TrueNorth
116
Integrating Mobile and Cloud for PPG Signal Selection to Monitor Heart Rate during Intensive Physical Exercise
117
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
118
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
119
Origami: A 803-GOp/s/W Convolutional Network Accelerator
120
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)
121
A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition
122
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces
123
A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator
124
A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces
125
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
126
Highly reliable TaOx ReRAM with centralized filament for 28-nm embedded application
127
Memory and Information Processing in Neuromorphic Systems
128
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
129
Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect
130
Medical image segmentation on GPUs - A comprehensive review
131
A reconfigurable fabric for accelerating large-scale datacenter services
132
Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems
133
Overview of the SpiNNaker System Architecture
134
NeuFlow: Dataflow vision processing system-on-a-chip
135
A Highly Dense, Low Power, Programmable Analog Vector-Matrix Multiplier: The FPAA Implementation
136
Implementation framework for Artificial Neural Networks on FPGA
137
High-Level Synthesis for FPGAs: From Prototyping to Deployment
138
A programmable bioamplifier on FPAA for in vivo neural recording
139
A Survey on Transfer Learning
140
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
141
ImageNet: A large-scale hierarchical image database
142
A 128$\times$ 128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
143
Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays
144
Application performance of elements in a floating-gate FPAA
145
Artificial neural networks as building blocks of mixed signal FPGA
146
A Recurrent Model of Orientation Maps with Simple and Complex Cells
147
Artificial neural network for ECG arrhythmia monitoring
148
Learning representations by back-propagating errors
149
Systolic Arrays for (VLSI).
151
Longterm bowel sound monitoring and segmentation by wearable devices and convolutional neural networks
152
The State of Health Care Industry (2020)
153
A Survey of FPGA-Based Neural Network Inference Accelerator
154
Intel details its Nervana inference and training AI cards
155
Huawei Ascend 910 provides a NVIDIA AI training alternative
156
The ai index 2019 annual report,”, AI Index Steering Committee, Human-Centered AI Institute
158
A 0.086-mm2 9.8-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
159
Survey of using GPU CUDA programming model in medical image analysis
160
5 ENVISION : A 0 . 26-to-10 TOPS / W Subword-Parallel Dynamic-Voltage-Accuracy-Frequency-Scalable Convolutional Neural Network Processor in 28 nm FDSOI
162
VTEAM – A General Model for Voltage Controlled Memristors
163
An 8-Channel Scalable EEG Acquisition SoC With Patient-Specific Seizure Classification and Recording Processor
164
Resistive Switching in $\hbox{HfO}_{2}$ Probed by a Metal–Insulator–Semiconductor Bipolar Transistor
165
NVIDIA ’ s Fermi : The First Complete GPU Computing Architecture
166
Patient-specific seizure onset detection
167
Diagnosing Breast Cancer from FNAs: Variable Relevance in Neural Network and Logistic Regression Models
168
Why systolic architectures?
170
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