From the 1 of 9 linked papers with an AI index.
10 papers
Modular Robotic Catheters for Endovascular Aneurysm Repair
Alex Ranne, Jinshi Zhao, Ali Anil Demircali +5
The paper introduces a two‑segment, 4‑DOF steerable catheter with a modular tendon‑driven actuation platform, fabricated using thermal fiber drawing and laser micro‑machining, and…
A Mapping Sheath with Thermally Drawn Multi-Electrode Basket for Cardiac Electrophysiological Recording and Ablation Catheter Delivery
Qindong Zheng, Anil Demircali, Jinshi Zhao +14
Cardiac arrhythmias, particularly atrial fibrillation, represent a major cardiovascular health burden and underscore the need for efficient and integrated strategies for electrical…
Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Dermatologic Disease: Implementation in Pemphigus Patients
Abdurrahim Yilmaz, AyÅe Esra Koku Aksu, Duygu Yamen +5
Chronic dermatologic diseases such as pemphigus require long-term follow-up, generating extensive longitudinal clinical documentation that is difficult to review comprehensively du…
Artefact-Aware Fungal Detection in Dermatophytosis: A Real-Time Transformer-Based Approach for KOH Microscopy
Rana Gursoy, Abdurrahim Yilmaz, Baris Kizilyaprak +5
Dermatophytosis is commonly assessed using potassium hydroxide (KOH) microscopy, yet accurate recognition of fungal hyphae is hindered by artefacts, heterogeneous keratin clearance…
DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning
Abdurrahim Yilmaz, Ozan Erdem, Ece Gokyayla +5
Vision-language models (VLMs) are increasingly important in medical applications; however, their evaluation in dermatology remains limited by datasets that focus primarily on image…
A Hierarchical Benchmark of Foundation Models for Dermatology
Furkan Yuceyalcin, Abdurrahim Yilmaz, Burak Temelkuran
Foundation models have transformed medical image analysis by providing robust feature representations that reduce the need for large-scale task-specific training. However, current…