17 citations · 17 across the 6 of their papers we have counts for
7 papers
BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio
Sania Fatima Sayed, John W. Holloway, Reyer Zwiggelaar +1
Speech-breath segmentation is a fundamental preprocessing step in respiratory audio analysis, enabling applications such as respiratory acoustic biomarker extraction, lung function…
Traceable Trust for action-ready artificial intelligence in bioscience
Huayu Xin, Yizhi Cai, Mukilan Deivarajan Suresh +9
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict biomolecular structures, design proteins, rank variants, annot…
Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition
Razieh Ghaedi, AmirReza BabaAhmadi, Reyer Zwiggelaar +2
Cross-domain facial expression recognition (CD-FER) remains difficult due to severe domain shift between training and deployment data. We propose Graph-Attention Network with Adver…
MACMD: Multi-dilated Contextual Attention and Channel Mixer Decoding for Medical Image Segmentation
Lalit Maurya, Honghai Liu, Reyer Zwiggelaar
Medical image segmentation faces challenges due to variations in anatomical structures. While convolutional neural networks (CNNs) effectively capture local features, they struggle…
TCSA-UDA: Text-Driven Cross-Semantic Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation
Lalit Maurya, Honghai Liu, Reyer Zwiggelaar
Unsupervised domain adaptation (UDA) for medical image segmentation remains challenging due to substantial domain shifts across imaging modalities, such as CT and MRI. Although rec…
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti +21
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemi…
Automated Mammogram Analysis with a Deep Learning Pipeline
Azam Hamidinekoo, Erika Denton, Reyer Zwiggelaar
Current deep learning based detection models tackle detection and segmentation tasks by casting them to pixel or patch-wise classification. To automate the initial mass lesion dete…