Convolutional recurrent U-net for cardiac cine MRI reconstruction via effective spatio-temporal feature exploitation. [PDF]
Med PhysAbstract Background Cardiac Cine Magnetic Resonance Imaging (MRI) provides dynamic visualization of the heart's structure and function but is hindered by slow acquisition, requiring repeated breath‐holds that challenge sick patients. Accelerated imaging can mitigate these issues but potentially reduce spatial and temporal resolution.
Lyu D +5 more
europepmc +2 more sources
Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies. [PDF]
J Magn Reson ImagingABSTRACT Background Transrectal in‐bore MR‐guided biopsy (MRGB) is accurate but time‐consuming, limiting clinical throughput. Faster imaging could improve workflow and enable real‐time instrument tracking. Existing acceleration methods often use simulated data and lack validation in clinical settings.
Noordman CR +5 more
europepmc +2 more sources
Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting [PDF]
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021 arXiv admin note: substantial text overlap with arXiv:2011 ...
Mohammad Omar Khursheed +5 more
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Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data
JOIV: International Journal on Informatics Visualization, 2023 Lung Cancer is one of the cancer types with the most significant mortality rate, mainly because of the disease's slow detection. Therefore, the early identification of this disease is crucial.
Azka Khoirunnisa +2 more
doaj +1 more source
Characterization of tumor suppressive function of cornulin in esophageal squamous cell carcinoma. [PDF]
PLoS ONE, 2013 By using cDNA microarray analysis, we identified cornulin (CRNN) gene was frequently downregulated in esophageal squamous cell carcinoma (ESCC). In the present study, we investigated the role of CRNN in ESCC development.
Kai Chen +9 more
doaj +1 more source
Multichannel CRNN for Speaker Counting: an Analysis of Performance
CoRR, 2021 Speaker counting is the task of estimating the number of people that are simultaneously speaking in an audio recording. For several audio processing tasks such as speaker diarization, separation, localization and tracking, knowing the number of speakers at each timestep is a prerequisite, or at least it can be a strong advantage, in addition to ...
Pierre-Amaury Grumiaux +3 more
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Efficiency Design of Traction Inverters Based on Deep Learning and TRIZ
Kongzhi Yu Xinxi Jishu, 2022 In the design of traction inverter system, there are complex and multiple technical contradictions among various subsystems. Traditional innovative method relies on manual table look-up, which is difficult to effectively deal with multiple technical ...
LIAGN Kaiwei +5 more
doaj +3 more sources
CRNN: A Joint Neural Network for Redundancy Detection [PDF]
SSRN Electronic Journal, 2016 Conference paper accepted at IEEE SMARTCOMP 2017, Hong ...
Xinyu Fu 0001 +3 more
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A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN
Sensors, 2021 Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to
Ahmed AL-Saffar +4 more
doaj +1 more source
A-CRNN: A Domain Adaptation Model for Sound Event Detection [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 This paper presents a domain adaptation model for sound event detection. A common challenge for sound event detection is how to deal with the mismatch among different datasets. Typically, the performance of a model will decrease if it is tested on a dataset which is different from the one that the model is trained on.
Wei Wei 0037 +3 more
openaire +1 more source