
Multimodal image registration
Rigid registration for surgical planning with evaluations
What it does
Most registration tools need expensive licenses or complex setup. MedReg changes that. Upload CT + MRI DICOM ZIPs → get aligned NIfTI volumes in minutes. No installation. No coding required. What's different: 🩻 Fully browser-based ⚙️ Clinical-grade ITK registration 📊 6 alignment metrics auto-computed 🖼️ 6 visual previews included 📦 One-click ZIP download 🆓 Completely free Built for radiologists, researchers & medical AI devs.
Does the same job
all alternatives →
- DMDicom Medical Image Library in Go2020 · github.com · ▲108
- DMDICOM Medical Image Parser in Go2019 · github.com · ▲142
VoxelVision - DICOM ViewerApr 2026 · apps.apple.com · ▲3Spatial medical image viewer for Apple Vision Pro

Scan InstantApr 2026 · scaninstant.com · ▲2Open MRI & CT scans instantly - no install, on any device.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Astute▲585Automate your B2B brand going viral, with new media creators
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com