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20232026
most citedRevolutionizing Genomics with Reinforcement Learning Techniques

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.GN2026

Large Language Model Agents for Evidence Based Genetic Disease Severity Classification

Tohid Ghasemnejad, Ahmadreza Argha, Mark Grosser +7

Disease severity classification for genetic conditions is subjective and labor-intensive, creating bottlenecks in genomic screening, where commercial panels vary widely in size and…

cs.CV2026

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models

Tariq M. Khan, Syed Saud Naqvi, Thantrira Porntaveetus +4

Medical image segmentation is often framed as a search for stronger architectures, but this can obscure a more fundamental question: what does the dataset require from the model? I…

cs.NI2026

A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network

Mehdi Hosseinzadeh, Roohallah Alizadehsani, Amin Beheshti +7

The Internet of Medical Things (IoMT) enables intelligent healthcare services but faces challenges such as dynamic topology, energy constraints, and diverse QoS requirements. This…

cs.SD2024★ 2 cited

Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies

Amir Masoud Rahmani, Amir Haider, Mohammad Adeli +6

This paper explores the efficacy of Mel Frequency Cepstral Coefficients (MFCCs) in detecting abnormal heart sounds using two classification strategies: a single classifier and an e…

q-bio.GN2023★ 4 cited

Revolutionizing Genomics with Reinforcement Learning Techniques

Mohsen Karami, Khadijeh Jahanian, Khadijeh +10

In recent years, Reinforcement Learning (RL) has emerged as a powerful tool for solving a wide range of problems, including decision-making and genomics. The exponential growth of…