Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Control Instrumentation System Conference (CISCON)

Hybrid Quantum-Classical Approach for MRI-Based Brain Tumor Detection and Classification

Harra Nayak, Mahek Trevadia, Reet Dengle, Dhirendra S. Mishra

Published Aug 1, 2025• 0 citations
Publisher
DOI
10.1109/ciscon66933.2025.11337499

Related papers

Toward Scalable and Interpretable Brain Tumor MRI Classification Using Quantum Support Vector Machines

Soha Rawas, Duaa AlSaeed

Lecture notes in networks and systems•Sep 2, 2026•0 citations

Hybrid Quantum Model for Brain Tumor Classification

Sergio Ramos-Villena, Carlos E. Atencio-Torres, José Eduardo Ochoa-Luna

Communications in computer and information science•Jan 1, 2025•0 citations

A Quantum Enhanced Deep Learning Approach for Brain Tumor MRI Classification: Effects of Qubit Count and Quantum Depth on Model Performance

Hesham Younis, Zeinab E. Attia, Hesham Ahmed Hefny

Journal of Intelligent Computing and Data Science•Apr 1, 2026•0 citations

Hybrid CNN–VQC for Brain Tumor MRI Classification

P Sree Manvitha, Ramdas Kapila

International Conference on Innovative Mechanisms for Industry Applications•Oct 1, 2026•0 citations

Quantum convolutional neural network for MRI brain tumor analysis: Binary and multiclass classification using a four-qubit architecture

Sitti Yani, Sugih Pratama Nugraha, Ariiq Islam Alfajri +5 more

Radiation Physics and Chemistry•Dec 7, 2025•2 citations

Quantum-Enhanced Multimodal Deep Learning Framework for Brain Tumor Classification Using MRI and Pseudo-PET Imaging

K Priya, N Harshavardhana

International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S)•Aug 1, 2026•0 citations