Research Assistant
+49 (0)40 42878 3547
E.3087
Debayan Bhattacharya
Debayan Bhattacharya
Curriculum Vitae
| 2021 - today | MTEC Institute / TUHH |
| 2018 - 2021 | TUHH ( M.Sc.) |
Interests
Deep learning for medical image analysis
Roles
- Research assistant
- PhD student
Publications
2023
- D. Bhattacharya, S. Latus, F. Behrendt, F. Thimm, D. Eggert, C. Betz, A. Schlaefer (2023). Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. Accepted. [Abstract]
[www] [BibTex]
- D. Bhattacharya, F. Behrendt, B. T. Becker, D. Beyersdorff, E. Petersen, M. Petersen, B. Cheng, D. Eggert, C. Betz, A. S. Hoffmann, A. Schlaefer (2023). Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. In Khan M. Iftekharuddin and Weijie Chen (Eds.) Medical Imaging 2023: Computer-Aided Diagnosis SPIE: 124651B [Abstract]
[doi] [www] [BibTex]
2022
- D. Bhattacharya, B. T. Becker, F. Behrendt, M. Bengs, D. Beyersdorff, D. Eggert, E. Petersen, F. Jansen, M. Petersen, B. Cheng, C. Betz, A. Schlaefer, A. S. Hoffmann (2022). Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. In Wang, Linwei, Dou, Qi, Fletcher, P. Thomas, Speidel, Stefanie, Li, Shuo (Eds.) Medical Image Computing, Computer Assisted Intervention -- MICCAI 2022 Springer Nature Switzerland: Cham 429-438 [Abstract]
[doi] [www] [BibTex]
- D. Bhattacharya, D. Eggert, C. Betz, A. Schlaefer (2022). Squeeze, multi-context attention for polyp segmentation. International Journal of Imaging Systems, Technology.Accepted. [Abstract]
[doi] [www] [BibTex]
- D. Bhattacharya, F. Behrendt, A. Felicio-Briegel, V. Volgger, D. Eggert, C. Betz, A. Schlaefer (2022). Learning Robust Representation for Laryngeal Cancer Classification in Vocal Folds from Narrow Band Images. Medical Imaging with Deep Learning. Accepted [www] [BibTex]
- F. Behrendt, M. Bengs, D. Bhattacharya, J. Krüger, R. Opfer, A. Schlaefer (2022). Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection. Medical Imaging with Deep Learning. Accepted [www] [BibTex]
2021
-
D. Bhattacharya, C. Betz, D. Eggert, A. Schlaefer
(2021).
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps.
SPIE Medical Imaging Symposium 2022
Accepted.
[Abstract] [www] [BibTex]
-
D. Bhattacharya, C. Betz, D. Eggert, A. Schlaefer
(2021).
Dual Parallel Reverse Attention Edge Network : DPRA-EdgeNet.
Nordic Machine Intelligence, MedAI2021.
1
(1),
11-13 Second place in challenge task.
[Abstract] [doi] [BibTex]