Conference Information

IPOR 2026: International Conference on Imaging Processing for Medical-Oriented Recognition

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Submission Date:
2026-09-18 Due in 3 days
Notification Date:
2026-10-23
Conference Date:
2026-11-27
Location:
Kuala Lumpur, Malaysia
Years:
Viewed: 5828   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.7 / 100
Ranked #3,955 of 5,682 conferences · Top 70%

#113 of 183 in Bioinformatics & Health Informatics #201 of 244 in Computer Vision & Pattern Recognition

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
30
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-15

Call For Papers

IPOR 2026 (International Conference on Imaging Processing for Medical-Oriented Recognition) is an academic conference held in Kuala Lumpur, Malaysia on 2026-11-27. The paper submission deadline is 2026-09-18. Acceptance notifications are sent on 2026-10-23.

The topics of interest for submission include, but are not limited to: Biomedical Imaging Medical Image Acquisition and Reconstruction Techniques; 3D and 4D Medical Image Processing; Multimodal Imaging Fusion (MRI, PET, CT, Ultrasound); Deep Learning in Medical Imaging; AI-Assisted Radiological Diagnosis, etc. Optics-Enhanced Biomedical Imaging and Signal Processing Optical Coherence Tomography (OCT) and Applications; Optical Signal Processing in Laser-Assisted Surgery; Deep Learning for Optical Image Interpretation; Machine Learning for Spectral Signal Classification; AI-Enhanced Optical Flow in Biomedical Video Analysis, etc. Biomedical Signal Processing Biomedical Signal Acquisition and Instrumentation; AI and Machine Learning for Biomedical Signal Analysis; Real-Time Signal Processing for Wearable Devices; Non-Invasive Monitoring and Analysis Techniques; Biomedical Signal Compression and Encryption, etc. Intelligent Diagnosis and Clinical Applications AI Algorithms for Disease Detection, Classification, Staging, and Diagnosis; Models for Disease Progression Prediction, Prognostic Assessment, and Efficacy Monitoring; Large Language Models and Vision-Language Models Applications; Innovation and Application of Deep Learning Models; Generative AI Applications, etc.
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