• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 26 matches

• 2024
• 
  Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
  Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(2): 223-231 (2024)
• 
  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:
  Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1713-1721 (2024)
• 
  Debayan Mukherjee, Atreya Bandyopadhyay, Soham Datta, Indrajit Bhattacharya:
  Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model. COMAD/CODS 2024: 127-135
• 
  Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer:
  Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. ISBI 2024: 1-4
• 
  Robin Mieling, Sarah Latus, Finn Behrendt, Debayan Bhattacharya, Maximilian Neidhardt, Alexander Schlaefer:
  Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? ISBI 2024: 1-4
• 
  Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer:
  PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. CoRR abs/2402.11585 (2024)
• 
  Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer:
  Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. CoRR abs/2403.14262 (2024)
• 
  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:
  Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. CoRR abs/2404.18599 (2024)
• 
  Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection. CoRR abs/2407.12474 (2024)
• 2023
• 
  Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer:
  Squeeze and multi-context attention for polyp segmentation. Int. J. Imaging Syst. Technol. 33(1): 123-142 (2023)
• 
  Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer:
  Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. EMBC 2023: 1-4
• 
  Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. ISBI 2023: 1-4
• 
  Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
  Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. Medical Imaging: Computer-Aided Diagnosis 2023
• 
  Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. MIDL 2023: 1019-1032
• 
  Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. CoRR abs/2303.03758 (2023)
• 
  Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
  Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus. CoRR abs/2303.17915 (2023)
• 
  Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer:
  Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. CoRR abs/2304.13574 (2023)
• 
  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:
  An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023)
• 
  Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs. CoRR abs/2312.04215 (2023)
• 2022
• 
  Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
  Self-supervised U-Net for segmenting flat and sessile polyps. Medical Imaging: Computer-Aided Diagnosis 2022
• 
  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:
  Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. MICCAI (3) 2022: 429-438
• 
  Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
  Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. CoRR abs/2208.08166 (2022)
• 
  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:
  Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. CoRR abs/2209.01937 (2022)
• 2021
• 
  Debayan Mukherjee, Atreya Bandyopadhyay, Rajdip Chowdhury, Indrajit Bhattacharya:
  Learning Knowledge Graph for Target-driven Schema Matching. COMAD/CODS 2021: 65-73
• 
  Sayandeep Mitra, Debayan Mukherjee, Atreya Bandyopadhyay, Rajdip Chowdhury, Raveendra Kumar Medicherla, Indrajit Bhattacharya, Ravindra Naik:
  Learning-based Assistant for Data Migration of Enterprise Information Systems. ASE 2021: 1121-1125
• 
  Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
  Self-Supervised U-Net for Segmenting Flat and Sessile Polyps. CoRR abs/2110.08776 (2021)