Debayan Bhattacharya

30 papers Journal 18Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs.
Comput. Biol. Medicine
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2025 J jnl
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal.
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
2024 — conf
Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography?
ISBI
Robin Mieling, Sarah Latus, Finn Behrendt, Debayan Bhattacharya, Maximilian Neidhardt, Alexander Schlaefer
2024 — conf
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs.
MIDL
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 — conf
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
ISBI
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer
2024 J jnl
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
CoRR
Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer
2024 — conf
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation.
MIDL
Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer
2024 — conf
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection.
MICCAI (11)
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 J jnl
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection.
CoRR
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2024 J jnl
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg.
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2024 J jnl
PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
CoRR
Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer
2024 J jnl
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
Int. J. Comput. Assist. Radiol. Surg.
Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg.
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
CoRR
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2024 — conf
TransRUPNet for Improved Polyp Segmentation.
EMBC
Debesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, Koushik Biswas, Ulas Bagci
2023 J jnl
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
2023 J jnl
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs.
CoRR
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 J jnl
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus.
CoRR
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2023 — conf
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers.
ISBI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 — conf
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI.
MIDL
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 J jnl
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI.
CoRR
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2023 J jnl
Squeeze and multi-context attention for polyp segmentation.
Int. J. Imaging Syst. Technol.
Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 — conf
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
EMBC
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 J jnl
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
CoRR
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 — conf
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.
Computer-Aided Diagnosis
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2022 J jnl
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs.
CoRR
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
2022 — conf
Self-supervised U-Net for segmenting flat and sessile polyps.
Computer-Aided Diagnosis
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
2022 — conf
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
MICCAI (3)
Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann
2022 J jnl
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
CoRR
Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann
2021 J jnl
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps.
CoRR
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer