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MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
21 July 2021
Sathyanarayanan N. Aakur
S. Narayanan
Vineela Indla
A. Bagavathi
V. Ramnath
A. Ramachandran
ArXiv (abs)PDFHTML

Papers citing "MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis"

3 / 3 papers shown
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled
  Zero-shot Genome Classification
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome ClassificationIEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Sathyanarayanan N. Aakur
Vishalini R. Laguduva
Priyadharsini Ramamurthy
A. Ramachandran
VLM
204
0
0
24 Jan 2024
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova RecognitionInternational Conference on Machine Learning and Applications (ICMLA), 2023
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
201
1
0
18 Sep 2023
Scalable Pathogen Detection from Next Generation DNA Sequencing with
  Deep Learning
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning
S. Narayanan
Sathyanarayanan N. Aakur
Priyadharsini Ramamurthy
A. Bagavathi
V. Ramnath
A. Ramachandran
202
1
0
30 Nov 2022
1
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