You will get Radiologist for CT, MRI, USG Annotations | DICOM, 3D Slicer, MD.ai
Top Rated
Top Rated
Project details
You will get clinically accurate radiology image annotations performed by a radiologist, not just a technician. With advanced training in medical imaging and hands-on experience using tools like MD.ai, 3D Slicer, and OHIF Viewer, I deliver high-quality annotations across all modalities — CT, MRI, ultrasound, X-ray, and angiography. Whether you need labels for AI training, research, or clinical validation, my work is 100% reliable, structured, and medically sound. Let’s get your data annotated right — efficiently and with expert precision.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningWhat's included
| Service Tiers |
Starter
$18
|
Standard
$38
|
Advanced
$78
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$10Frequently asked questions
4 reviews
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JS
Joe S.
Nov 14, 2025
Experienced Radiologist Needed for Foot X-Ray Analysis
great to work with. i'd recommend.
JR
Jimmie R.
Sep 20, 2025
DICOM to STL Conversion for 3D Printing of Uterus, Ovaries, and Fibroids
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Phillip C.
Aug 7, 2025
Radiology Expert Needed - Age of Injury (AOI) report
YS
Yujan S.
Jun 11, 2025
Medical Image Annotators (CT / MRI)
Momina was knowledgeable, on time, and perfomed my medical data annotation task exactly as requested. I recommend her for future tasks requiring 3D Slicer and radiology knowledge.
About Hafiza Momina
Radiologist |AI data Annotation & DICOM Segmentation |3D Slicer Expert
100%
Job Success
Rawalpindi, Pakistan - 7:50 pm local time
I’m Dr. Momina Siddiquei, an FCPS Part II eligible radiologist with hands-on experience in medical image annotation, DICOM segmentation, radiology report validation, and AI dataset quality review.
I have annotated 650+ imaging studies across CT, MRI, CCTA, fluoroscopy, X-ray, and ultrasound, and quality-validated 500+ radiology reports for clinical accuracy, terminology consistency, and finding–impression alignment. I also reviewed 4,848 FRCR-style radiology questions for accuracy, explanation clarity, and reference consistency.
I help AI healthcare companies, imaging researchers, teleradiology teams, and med-tech startups create accurate, structured, clinically reliable datasets for AI model training, computer vision, clinical research, validation, and publication-ready workflows.
Medical Image Annotation & Segmentation
CT, MRI, CCTA, X-ray, ultrasound, and fluoroscopic video annotation
Anatomical and pathology-based segmentation for AI training datasets
Multi-label masks in NIfTI, STL, VTK, OBJ, and client-required formats
DICOM review, imaging QA, label validation, and ground-truth support
Tools: 3D Slicer, MD.ai, OHIF Viewer, RedBrick AI, CVAT
Radiology Review & Reporting Support
Preliminary review support for CT, MRI, X-ray, ultrasound, and angiography studies
Structured reporting assistance for clinics, research teams, and AI workflows
Report quality checks for clinical consistency and finding–impression alignment
Confidential, organized, and quality-focused delivery
Medical Writing & Radiology Education
Literature reviews, summaries, thesis support, and manuscript assistance
Radiology MCQ and educational content review
Anatomy, pathology, and imaging-based question development
Radiology-informed content for AI documentation, research, and medical education
Why Clients Hire Me
Radiologist-led work with clinical anatomy and pathology understanding
Experience with DICOM workflows, segmentation masks, imaging QA, and report validation
Secure, detail-oriented, and organized project delivery
Top Rated Upwork freelancer with reliable communication
📩 Whether you are building a radiology AI model, preparing a medical imaging dataset, validating annotations, improving report quality, or developing a healthcare application, I can support your project with radiology-level accuracy and dependable communication.
Steps for completing your project
After purchasing the project, send requirements so Hafiza Momina can start the project.
Delivery time starts when Hafiza Momina receives requirements from you.
Hafiza Momina works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Modality Confirmation
I will review the images and confirm the imaging modality (CT, MRI, USG, X-ray, etc.), body region, and expected ROIs (regions of interest).
Tool Setup & Case Management
Based on your preferred platform (e.g., MD.ai, 3D Slicer, OHIF Viewer), I will set up the annotation workspace and organize cases for efficient delivery.