# IEEE Transactions on Medical Imaging

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-medical-imaging/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0278-0062 |
| ISSNs | 0278-0062,1558-254X |
| OpenAlex ID | https://openalex.org/S58069681 |
| Publisher | Institute of Electrical and Electronics Engineers |

## Journal papers

Showing 12 of 39.

- [The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)](https://scholariq.org/papers/the-multimodal-brain-tumor-image-segmentation-benchmark-brats/)
- [Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network](https://scholariq.org/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/)
- [Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network](https://scholariq.org/papers/lung-pattern-classification-for-interstitial-lung-diseases-using-a-deep/)
- [Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets](https://scholariq.org/papers/comparison-and-evaluation-of-methods-for-liver-segmentation-from-ct-datasets/)
- [EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos](https://scholariq.org/papers/endonet-a-deep-architecture-for-recognition-tasks-on-laparoscopic-videos/)
- [Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening](https://scholariq.org/papers/superpixel-classification-based-optic-disc-and-optic-cup-segmentation-for/)
- [From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge](https://scholariq.org/papers/from-detection-of-individual-metastases-to-classification-of-lymph-node-status/)
- [Electromagnetic Tracking in Medicine—A Review of Technology, Validation, and Applications](https://scholariq.org/papers/electromagnetic-tracking-in-medicine-a-review-of-technology-validation-and/)
- [LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT](https://scholariq.org/papers/learn-learned-experts-assessment-based-reconstruction-network-for-sparse-data-ct/)
- [Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge](https://scholariq.org/papers/comparative-validation-of-polyp-detection-methods-in-video-colonoscopy-results/)
- [ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model](https://scholariq.org/papers/rose-a-retinal-oct-angiography-vessel-segmentation-dataset-and-new-model/)
- [Computer-Aided Diagnosis of Solid Breast Nodules: Use of an Artificial Neural Network Based on Multiple Sonographic Features](https://scholariq.org/papers/computer-aided-diagnosis-of-solid-breast-nodules-use-of-an-artificial-neural/)

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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.