AIMC Topic: Software

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Preliminary design and evaluation of a generic surgical scope adapter.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robotic scope assistant systems are used to visualise and navigate the operative field during a laparoscopic surgery. The objective of this work is to design a surgical scope adapter that enables control of different scope types (zero-deg...

PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural Networks.

International journal of molecular sciences
Pollen grains, the male gametophytes for reproduction in higher plants, are vulnerable to various stresses that lead to loss of viability and eventually crop yield. A conventional method for assessing pollen viability is manual counting after stainin...

CATNet: Cross-event attention-based time-aware network for medical event prediction.

Artificial intelligence in medicine
Medical event prediction (MEP) is a fundamental task in the healthcare domain, which needs to predict medical events, including medications, diagnosis codes, laboratory tests, procedures, outcomes, and so on, according to historical medical records o...

Isotropic reconstruction for electron tomography with deep learning.

Nature communications
Cryogenic electron tomography (cryoET) allows visualization of cellular structures in situ. However, anisotropic resolution arising from the intrinsic "missing-wedge" problem has presented major challenges in visualization and interpretation of tomog...

What and Where: Learn to Plug Adapters via NAS for Multidomain Learning.

IEEE transactions on neural networks and learning systems
As an important and challenging problem, multidomain learning (MDL) typically seeks a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network. Usually, existing ways of adapter plugging and structure...

Custom Hardware Architectures for Deep Learning on Portable Devices: A Review.

IEEE transactions on neural networks and learning systems
The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, such as object detecti...

iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.

PLoS computational biology
MOTIVATION: Piwi-interacting RNAs (piRNAs) play a critical role in the progression of various diseases. Accurately identifying the associations between piRNAs and diseases is important for diagnosing and prognosticating diseases. Although some comput...

Protocol to identify functional doppelgängers and verify biomedical gene expression data using doppelgangerIdentifier.

STAR protocols
Functional doppelgängers (FDs) are independently derived sample pairs that confound machine learning model (ML) performance when assorted across training and validation sets. Here, we detail the use of doppelgangerIdentifier (DI), providing software ...

A Routing Optimization Method for Software-Defined Optical Transport Networks Based on Ensembles and Reinforcement Learning.

Sensors (Basel, Switzerland)
Optical transport networks (OTNs) are widely used in backbone- and metro-area transmission networks to increase network transmission capacity. In the OTN, it is particularly crucial to rationally allocate routes and maximize network capacities. By em...