# Medical Physics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/medical-physics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0094-2405 |
| ISSNs | 0094-2405,1522-8541,2473-4209 |
| OpenAlex ID | https://openalex.org/S95522064 |
| Publisher | Wiley |

## Journal papers

Showing 12 of 32.

- [Segmentation of organs‐at‐risks in head and neck <scp>CT</scp> images using convolutional neural networks](https://scholariq.org/papers/segmentation-of-organs-at-risks-in-head-and-neck-scp-ct-scp-images-using/)
- [A review of electronic portal imaging devices (EPIDs)](https://scholariq.org/papers/a-review-of-electronic-portal-imaging-devices-epids/)
- [Clinical use of electronic portal imaging: Report of AAPM Radiation Therapy Committee Task Group 58](https://scholariq.org/papers/clinical-use-of-electronic-portal-imaging-report-of-aapm-radiation-therapy/)
- [Four‐dimensional cone‐beam computed tomography using an on‐board imager](https://scholariq.org/papers/four-dimensional-cone-beam-computed-tomography-using-an-on-board-imager/)
- [X‐ray sources of medical linear accelerators: Focal and extra‐focal radiation](https://scholariq.org/papers/x-ray-sources-of-medical-linear-accelerators-focal-and-extra-focal-radiation/)
- [A quality assurance program for the on‐board](https://scholariq.org/papers/a-quality-assurance-program-for-the-on-board/)
- [X-ray quantum limited portal imaging using amorphous silicon flat-panel arrays](https://scholariq.org/papers/x-ray-quantum-limited-portal-imaging-using-amorphous-silicon-flat-panel-arrays/)
- [Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods](https://scholariq.org/papers/auto-segmentation-of-organs-at-risk-for-head-and-neck-radiotherapy-planning-from/)
- [Speed‐of‐sound compensated photoacoustic tomography for accurate imaging](https://scholariq.org/papers/speed-of-sound-compensated-photoacoustic-tomography-for-accurate-imaging/)
- [Prostate cancer classification with multiparametric MRI transfer learning model](https://scholariq.org/papers/prostate-cancer-classification-with-multiparametric-mri-transfer-learning-model/)
- [Low‐dose phase contrast mammography with conventional x‐ray sources](https://scholariq.org/papers/low-dose-phase-contrast-mammography-with-conventional-x-ray-sources/)
- [Development of deep neural network for individualized hepatobiliary toxicity prediction after liver <scp>SBRT</scp>](https://scholariq.org/papers/development-of-deep-neural-network-for-individualized-hepatobiliary-toxicity/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.