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20162026
most citedMedical image denoising using convolutional denoising autoencoders

706 citations · 749 across the 20 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025

Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI

Balagopal Unnikrishnan, Ariel Guerra Adames, Amin Adibi +10

While ethical arguments for fairness in healthcare AI are well-established, the economic and strategic value of inclusive design remains underexplored. This perspective introduces…

cs.CL2025

Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry

Lovedeep Gondara, Gregory Arbour, Raymond Ng +2

Automating data extraction from clinical documents offers significant potential to improve efficiency in healthcare settings, yet deploying Natural Language Processing (NLP) soluti…

cs.AI2025

Leveraging Language Models for Automated Patient Record Linkage

Mohammad Beheshti, Lovedeep Gondara, Iris Zachary

Objective: Healthcare data fragmentation presents a major challenge for linking patient data, necessitating robust record linkage to integrate patient records from diverse sources.…

cs.CL2025★ 1 cited

Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare

Lovedeep Gondara, Jonathan Simkin, Graham Sayle +3

This study aims to guide language model selection by investigating: 1) the necessity of finetuning versus zero-shot usage, 2) the benefits of domain-adjacent versus generic pretrai…

cs.CL2025

ELM: A Hybrid Ensemble of Language Models for Automated Tumor Group Classification in Population-Based Cancer Registries

Lovedeep Gondara, Jonathan Simkin, Shebnum Devji +2

Background: Population-based cancer registries (PBCRs) manually extract data from unstructured pathology reports, a labor-intensive process where assigning reports to tumor groups…