Self-supervised U-Net for segmenting flat and sessile polyps. - Debayan Bhattacharya; Christian Betz; Dennis Eggert; Alexander Schlaefer (Computer-Aided Diagnosis, 2022)

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. - 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; et al. (MICCAI (3), 2022)

Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (CoRR, 2022)

Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. - Debayan Bhattacharya; Sarah Latus; Finn Behrendt; Florin Thimm; Dennis Eggert; Christian Betz; Alexander Schlaefer (EMBC, 2023)

Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (ISBI, 2023)

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Computer-Aided Diagnosis, 2023)

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. - Finn Behrendt; Debayan Bhattacharya; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - 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; et al. (CoRR, 2023)

Squeeze and multi-context attention for polyp segmentation. - Debayan Bhattacharya; Dennis Eggert; Christian Betz; Alexander Schlaefer (Int. J. Imaging Syst. Technol., 2023)

TransRUPNet for Improved Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Debayan Bhattacharya; Koushik Biswas; Ulas Bagci (EMBC, 2024)

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Robin Mieling; Alexander Schlaefer (ISBI, 2024)

Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? - Robin Mieling; Sarah Latus; Finn Behrendt; Debayan Bhattacharya; Maximilian Neidhardt; Alexander Schlaefer (ISBI, 2024)

Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MICCAI (11), 2024)

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (MIDL, 2024)

Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation. - Lennart Maack; Finn Behrendt; Debayan Bhattacharya; Sarah Latus; Alexander Schlaefer (MIDL, 2024)

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. - 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 (Int. J. Comput. Assist. Radiol. Surg., 2024)

PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. - Debayan Bhattacharya; Konrad Reuter; Finn Behrendt; Lennart Maack; Sarah Grube; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs. - Finn Behrendt; Debayan Bhattacharya; Robin Mieling; Lennart Maack; Julia Krüger; Roland Opfer; Alexander Schlaefer (Comput. Biol. Medicine, 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - 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; et al. (Medical Image Anal., 2025)