PROJECTS · REVIEWS · NOTES · OCCASIONAL BAD IDEAS

Reviewing
anything.

Radiotherapy software. Open models. iPhone apps. Business ideas. Hardware. Competitions. Things I tried that did not work. Whatever seems worth looking at.

Seoul, KoreaProjects, reviews & experimentsUpdated whenever

September 9–11, 2026 · Busan BPEX

Probably wandering around AOCMP.

I’ll be there in my role as the developer of AccurayLab. If treatment-planning challenges, DVHs, or strange software experiments are your thing, say hello.

2026 Participants at the 2026 Lunit Medical Foundation Model Hackathon, with Kanghoun Lee identifiedRead the story → Lunit Medical Foundation Model HackathonBenchmark Award · Team AIM · 1st place Result, method & limits →
Some things worked.
Some really didn’t.

The code, screenshots, calculations, build files, caveats, and abandoned assumptions can all live here.

Use it. Read it. Run it.

Three ways into the work—whether you have a problematic DICOM dataset, need an implementation note, or want to operate a medical challenge.

FREE BROWSER TOOL

Inspect DICOM-RT files

Inventory objects and flag obvious privacy or reference problems without uploading patient files.

Open the inspector →
PRACTICAL CASE STUDY

Read how a real competition ran

Seven final plans, 36 structures per plan, hidden scoring, and an anonymized 150-point leaderboard.

Read the operating note →
A PRODUCT QUESTION

Why must a vendor run the challenge?

An experiment in giving societies, hospitals, and research groups the infrastructure to operate their own reproducible competitions.

Read the hypothesis →

Field Notes · Secure evaluation

Hidden truth stays
outside the container.

I built the first local Orcaton evaluator for submitted AI containers, then wrote down both the isolation policy and the Docker failure that stopped the first end-to-end run.

Read the field note →

What I keep thinking about

Not a feed of everything I do. Three ongoing bodies of work, each grounded in experiments and evidence.

Systems you can inspect

Clinical software, browser tools, physical builds, and speculative infrastructure carried through to working systems.

Small tools for physical work

SwiftUI applications built around cameras, QR codes, Bluetooth devices, labels, and local records.

MoveProof iPhone dashboard showing a rental-property inspection project
APP STORE BUILD UPLOADED

SwiftUI · Vision OCR · Camera

MoveProof

A local-first move-in and move-out evidence app. It reads room names from a floor plan, guides both parties through the same nine views, compares matched captures, records signatures, and exports a PDF report.

  • Landlord and tenant records kept separate
  • Matching-view comparison with timestamp and SHA-256 index
  • Consent-aware ads and a one-time remove-ads purchase
Read the build note →
ReturnProof iPhone inventory and inspection screens
WORKING PROTOTYPE

SwiftUI · Local-first operations

ReturnProof

An iPhone inventory, QR checkout, and return-inspection app for small rental operations. It records kit components and condition photos, prints AirPrint or ZPL labels, and stores data locally.

  • QR deep links and five explicit asset states
  • Checkout and return condition records
  • Ad-supported mode and one-time remove-ads purchase
Read the build note →
ResaleDock turntable controlled by an iPhone app
CONTROLLER PROTOTYPE

Swift · BLE · Camera

ResaleDock Controller

An iPhone controller that coordinates an ESP32 turntable, lighting, homing, weight readout, and an eight-angle product photography sequence.

  • Bluetooth Low Energy command protocol
  • Camera capture coordination
  • Separately testable pure Swift core
Read the build note →
15confirmed rejections
2020–2026

I kept the rejection emails.

VUNO twice. Yonsei Medical Center after three separate interview processes. Then Lunit, Palantir, Accuray, Kakao Healthcare, Radformation, and Elekta in one 2026 run. This is the unpolished record behind the projects above.

Read the rejection log →

I follow the work
all the way to reality.

My background is in medical physics and medical AI. I now explore local AI and buildable product systems alongside clinical software. For research collaboration, technical consulting, or prototype review, reach me through GitHub, LinkedIn, or Kmong.