( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.

, , , , , , , , , , , и . CoRR, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Subhamoy Bhattacharya

Chhaya Bhattacharya

Nupur Bhattacharya

Indrajit Bhattacharya

Asitesh Bhattacharya

 

Другие публикации лиц с тем же именем

Squeeze and multi-context attention for polyp segmentation., , , и . Int. J. Imaging Syst. Technol., 33 (1): 123-142 (января 2023)Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography., , , , , , и . EMBC, стр. 1-4. IEEE, (2023)Self-supervised learning for classifying paranasal anomalies in the maxillary sinus., , , , , , , , , и 2 other автор(ы). CoRR, (2024)Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs., , , , и . CoRR, (2022)Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus., , , , , , , , , и 3 other автор(ы). MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 429-438. Springer, (2022)Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI., , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 1019-1032. PMLR, (2023)Self-supervised U-Net for segmenting flat and sessile polyps., , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers., , , , и . ISBI, стр. 1-4. IEEE, (2023)Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection., , , , , , и . CoRR, (2024)