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Followers
82
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Craig Jones, PhD
Known for
6 views
Excited to be part of a IEEE Transactions on Medical Robotics and Bionics paper that was just published.
Real-Time 3D Video Reconstruction for Guidance of Transventricular Neurosurgery
https://doi.org/10.1109/TMRB.2023.3292450
#computervision #cbct #railjhu
4 views
Recently started using #obsidian (https://obsidian.md). It is a Markdown Wiki style editor, similar to Notion, where you can write, link, paste images etc and has auto-commit to Git. But everything is local.
It has been an amazing resource for doing #medicalimaging ad #ai research, tracking projects and task management. The tasks are one of the big reasons I came to it.
(The money-bag on Grants s
2 views
Excited about this paper (on which I am a collaborator) showing #MRI #brain #tumor #segmentation is possible with missing scans.
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information
https://doi.org/10.1007/s10278-023-00860-7
1 views
I presented my work at the IHU in Strasbourg, France on Medical #AI: Uncertainty and Artifacts last week. It was a great discussion with very thoughtful questions.
#JHU #CS #AI #medicalimaging
📊 Post engagement
3
Avg engagement / post
3.7%
Engagement vs followers
Jun 2023
On Mastodon since
🔥 Top post: Excited to be part of a IEEE Transactions on Medical Robotics an · 6 likes + reposts
📊 Activity & format
Posting cadence
0.75 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 1 text · 11 image · 0 video.
Follower / following
0.3×
Follows 257 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
Excited to be part of a IEEE Transactions on Medical Robotics and Bionics paper that was just published.
Real-Time 3D Video Reconstruction for Guidance of Transventricular Neurosurgery
https://doi.org/10.1109/TMRB.2023.3292450
#computervision #cbct #railjhu
Congrats to
JHU Applied Math and Stats
MSc student Ruxiao Duan on the acceptance of our #AI paper "Evidential Uncertainty Quantification: A Variance-Based Perspective" to the Proc of the IEEE/CVF Winter Conference on Applications of Comp…
I presented my work at the IHU in Strasbourg, France on Medical #AI: Uncertainty and Artifacts last week. It was a great discussion with very thoughtful questions.
#JHU #CS #AI #medicalimaging
Congratulations to #JHUCompSci MSc student Ammar Latheef on a successful talk on our work at the #ASFNR! Based on a collaboration with #Microsoft #Health #AI on emergent language #AI representations of hierarchical function of the brain ba…
#JHU AI-X conference today w/ undergrad student Edmund Sumpena presenting our work on "Unsupervised Artifact Detection in 3D OCTA using #GANs". This is collaborative work with Dr Amir Kashani at the Wilmer Eye Institute #JHU. 2/2
AI-X #JHU conference today w/ MSc Ruxiao Duan presenting our work on "Uncertainty in #AI: A Variance-Based Approach". This is collaborative work with Brian Caffo in School of Public Health and Drs Haris Sair and Harrison Bai in JHU Radiol…
Currently in Kenya. No computing. Just traveling...
Fun project I was involved in:
Two Baltimore high school seniors, Alex Boulay & Kaikai Du, w/ no formal software dev training nor knowledge of machine learning, used #chatgpt to write an #AI #NeuralNetwork Python script to predict pneumoni…
Submitted a manuscript on a #neuralnetwork based #artifact detection in ultra-wide field funds photos with collaborators at the Wilmer Eye Institute.
A preprint is available here arxiv.org/abs/2307.05780
#JHU #RAIL #WilmerEyeInstitute #dee…
Excited about this paper (on which I am a collaborator) showing #MRI #brain #tumor #segmentation is possible with missing scans.
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information
https://doi.org/10.1007/s10278-023-00860…
#MedicalImaging #Visualization Software
I am working on a list of software for the visualization, processing, and analysis of medical images. Currently includes:
3D Slicer: https://slicer.org
MITK: https://www.mitk.org
MIPAV: https://mipav…
Recently started using #obsidian (https://obsidian.md). It is a Markdown Wiki style editor, similar to Notion, where you can write, link, paste images etc and has auto-commit to Git. But everything is local.
It has been an amazing resource…
I presented my work at the IHU in Strasbourg, France on Medical #AI: Uncertainty and Artifacts last week. It was a great discussion with very thoughtful questions.
#JHU #CS #AI #medicalimaging
Congratulations to #JHUCompSci MSc student Ammar Latheef on a successful talk on our work at the #ASFNR! Based on a collaboration with #Microsoft #Health #AI on emergent language #AI representations of hierarchical function of the brain ba…
#JHU AI-X conference today w/ undergrad student Edmund Sumpena presenting our work on "Unsupervised Artifact Detection in 3D OCTA using #GANs". This is collaborative work with Dr Amir Kashani at the Wilmer Eye Institute #JHU. 2/2
AI-X #JHU conference today w/ MSc Ruxiao Duan presenting our work on "Uncertainty in #AI: A Variance-Based Approach". This is collaborative work with Brian Caffo in School of Public Health and Drs Haris Sair and Harrison Bai in JHU Radiol…
Currently in Kenya. No computing. Just traveling...
Fun project I was involved in:
Two Baltimore high school seniors, Alex Boulay & Kaikai Du, w/ no formal software dev training nor knowledge of machine learning, used #chatgpt to write an #AI #NeuralNetwork Python script to predict pneumoni…
Submitted a manuscript on a #neuralnetwork based #artifact detection in ultra-wide field funds photos with collaborators at the Wilmer Eye Institute.
A preprint is available here arxiv.org/abs/2307.05780
#JHU #RAIL #WilmerEyeInstitute #dee…
Excited about this paper (on which I am a collaborator) showing #MRI #brain #tumor #segmentation is possible with missing scans.
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information
https://doi.org/10.1007/s10278-023-00860…
#MedicalImaging #Visualization Software
I am working on a list of software for the visualization, processing, and analysis of medical images. Currently includes:
3D Slicer: https://slicer.org
MITK: https://www.mitk.org
MIPAV: https://mipav…
Recently started using #obsidian (https://obsidian.md). It is a Markdown Wiki style editor, similar to Notion, where you can write, link, paste images etc and has auto-commit to Git. But everything is local.
It has been an amazing resource…
🐘 Community & instance
Home server
fediscience.org
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Jun 2023
An established account with real history on the platform.
💡 Facts
🗓️Joined Mastodon in 2023 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 0.8× per week.
🕵️ Fake follower check
Estimated80/100
Excellent
Credibility score
97%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 97% real, active audience · Low fake-follower risk.
- Strong engagement (~3.7% of followers engage each post) — an active, real audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
💚 Brand affinity
EstimatedBrands Craig Jones, PhD's audience is most likely to respond to — from detected sponsorships in this niche.
About
I am an assistant research professor in medical imaging who applies AI, neural network and computer vision algorithms to medical images.
#medicalimaging #mri #ct #oct #ai #neuralnetworks
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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