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ORCIDAndreas Nürnberger
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- affiliation: Otto von Guericke University Magdeburg, Germany
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2020 – today
- 2024
[j52]Soumick Chatterjee
, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck:
DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access 12: 99122-99136 (2024)- [j51]Fatima Saad, Robert Frysch, Sylvia Saalfeld, Stephan Kellnberger, Jessica Schulz, Rebecca Fahrig, Krish Bhadra, Andreas Nürnberger, Georg Rose:
Deformable 3D/3D CT-to-digital-tomosynthesis image registration in image-guided bronchoscopy interventions. Comput. Biol. Medicine 171: 108199 (2024) - [j50]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024) - [j49]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. J. Imaging 10(9): 207 (2024) - [c176]Wendgounda Francis Ouedraogo, Andreas Nürnberger:
Knowledge-Based Systems for Strengthening African Health Systems. ICEIS (1) 2024: 779-783 - [i28]Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger, Soumick Chatterjee:
SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss. CoRR abs/2407.08655 (2024) - [i27]Stefan Langer, Fabian Neuhaus, Andreas Nürnberger:
CEAR: Automatic construction of a knowledge graph of chemical entities and roles from scientific literature. CoRR abs/2407.21708 (2024) - 2023
- [j48]Hana Haseljic, Soumick Chatterjee, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging. Comput. Biol. Medicine 154: 106539 (2023) - [j47]Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger:
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent. Comput. Medical Imaging Graph. 108: 102267 (2023) - [j46]Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Neural Networks 166: 704-721 (2023) - [j45]Andargachew Mekonnen Gezmu, Andreas Nürnberger:
Morpheme-Based Neural Machine Translation Models for Low-Resource Fusion Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 231:1-231:19 (2023) - [j44]David B. Kaber, Andreas Nürnberger, Giancarlo Fortino, David Mendonça:
Editorial Special Section on Featured Research From the 2nd International Conference on Human-Machine Systems. IEEE Trans. Hum. Mach. Syst. 53(4): 653-656 (2023) - [c175]Soumick Chatterjee, Arnab Das, Rupali Khatun, Andreas Nürnberger:
Unboxing the Black-Box of Deep Learning Based Reconstruction of Undersampled MRIss. XAI.it@AI*IA 2023: 15-28 - [c174]Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra:
Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI. CBMS 2023: 441-445 - [c173]Lars Schütz, Korinna Bade, Andreas Nürnberger:
Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes. DeLTA 2023: 434-455 - [c172]Lars Schütz, Korinna Bade, Andreas Nürnberger:
Comprehensive Differentiation of Partitional Clusterings. ICEIS (2) 2023: 243-255 - [c171]Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger:
Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis. NL4AI@AI*IA 2023 - [i26]Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger:
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. CoRR abs/2302.04584 (2023) - [i25]Soumick Chatterjee, Hana Haseljic, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. CoRR abs/2302.04585 (2023) - [i24]Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja:
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation. CoRR abs/2312.15686 (2023) - 2022
- [j43]Jiahua Xu, Mircea Ariel Schoenfeld, Paolo M. Rossini, Turgut Tatlisumak, Andreas Nürnberger, Andrea Antal, Huiguang He, Ying Gao, Bernhard A. Sabel:
Adaptive and Maladaptive Brain Functional Network Reorganization After Stroke in Hemianopia Patients: An Electroencephalogram-Tracking Study. Brain Connect. 12(8): 725-739 (2022) - [j42]Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck:
ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Comput. Biol. Medicine 143: 105321 (2022) - [j41]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. Comput. Biol. Medicine 149: 106093 (2022) - [j40]Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8(10): 259 (2022) - [c170]Sayantan Polley, Subhajit Mondal, Venkata Srinath Mannam, Kushagra Kumar, Subhankar Patra, Andreas Nürnberger:
X-Vision: Explainable Image Retrieval by Re-Ranking in Semantic Space. CIKM 2022: 4955-4959 - [c169]Andargachew Mekonnen Gezmu, Andreas Nürnberger:
Transformers for Low-resource Neural Machine Translation. ICAART (1) 2022: 459-466 - [c168]Christian Mertens, Andreas Nürnberger:
DMISTA: Conceptual Data Model for Interactions in Support Ticket Administration. ICEIS (1) 2022: 112-119 - [c167]Soumick Chatterjee, Hana Haseljic, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. IPAS 2022: 1-7 - [c166]Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger:
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. IPAS 2022: 1-5 - [c165]Suhita Ghosh, Philipp Ernst, Georg Rose, Andreas Nürnberger, Sebastian Stober:
Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. ISBI 2022: 1-5 - [c164]Andargachew Mekonnen Gezmu, Andreas Nürnberger, Tesfaye Bayu Bati:
Extended Parallel Corpus for Amharic-English Machine Translation. LREC 2022: 6644-6653 - [c163]Johannes Schwerdt, Andreas Nürnberger:
Automatic Reading Detection during Online Search Sessions. UMAP (Adjunct Publication) 2022: 13-17 - [c162]Victor Obionwu, Andreas Nürnberger, Gunter Saake:
A Skill Sharing Platform for Team Collaboration and Knowledge Exchange. WEBIST 2022: 365-372 - [i23]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. CoRR abs/2201.13271 (2022) - [i22]Soumick Chatterjee, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck:
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI. CoRR abs/2202.05355 (2022) - [i21]Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger:
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent. CoRR abs/2203.04317 (2022) - [i20]Philipp Ernst, Soumick Chatterjee, Georg Rose, Andreas Nürnberger:
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction. CoRR abs/2205.07866 (2022) - [i19]Philipp Ernst, Suhita Ghosh, Georg Rose, Andreas Nürnberger:
Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss. CoRR abs/2205.10353 (2022) - [i18]Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck:
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. CoRR abs/2206.05148 (2022) - [i17]Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra:
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. CoRR abs/2206.06725 (2022) - [i16]Hana Haseljic, Soumick Chatterjee, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging. CoRR abs/2207.10167 (2022) - 2021
- [j39]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck:
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. Artif. Intell. Medicine 121: 102196 (2021) - [j38]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [j37]Ana García-Serrano, Sebastian Hennig, Andreas Nürnberger:
Computational Reproducibility of Named Entity Recognition methods in the biomedical domain. Proces. del Leng. Natural 66: 141-152 (2021) - [j36]Moritz Spiller, Ying-Hsang Liu, Md. Zakir Hossain, Tom Gedeon, Julia Geißler, Andreas Nürnberger:
Predicting Visual Search Task Success from Eye Gaze Data as a Basis for User-Adaptive Information Visualization Systems. ACM Trans. Interact. Intell. Syst. 11(2): 14:1-14:25 (2021) - [c161]Jiahua Xu, Zheng Wu, Andreas Nürnberger, Bernhard A. Sabel:
Interhemispheric Cortical Network Connectivity Reorganization Predicts Vision Impairment in Stroke. EMBC 2021: 836-840 - [c160]Jiahua Xu, Philipp Ernst, Tung-Lung Liu, Andreas Nürnberger:
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images. EMBC 2021: 3217-3220 - [c159]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. EUSIPCO 2021: 940-944 - [c158]Andargachew Mekonnen Gezmu, Andreas Nürnberger, Tesfaye Bayu Bati:
Neural Machine Translation for Amharic-English Translation. ICAART (1) 2021: 526-532 - [c157]Aditya Dey, Chandan Radhakrishna, Nishitha Nancy Lima, Suraj Shashidhar, Sayantan Polley, Marcus Thiel, Andreas Nürnberger:
Evaluating Reliability in Explainable Search. ICHMS 2021: 1-4 - [c156]Johannes Schwerdt, Michael Kotzyba, Andreas Nürnberger:
Fact-Finding or Exploration: Characterizing Reading Strategies in User's Search Activities. ICHMS 2021: 1-6 - [c155]Johannes Schwerdt, Aljoscha Tersteegen, Pauline Marquardt, Achim J. Kaasch, Andreas Nürnberger:
An Explorative Tool for Mutation Tracking in the Spike Glycoprotein of SARS-CoV-2. ICHMS 2021: 1-6 - [c154]Jiahua Xu, Zheng Wu, Andreas Nürnberger, Bernhard A. Sabel:
Predicting Brain Electrical Stimulation Outcome in Stroke by Clinical-inspired Hybrid Graph Convolutional Autoencoder. ICHMS 2021: 1-3 - [c153]Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger:
Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation. ICPRAM 2021: 488-494 - [c152]Jiahua Xu, Zheng Wu, Andreas Nürnberger, Bernhard A. Sabel:
Decoding Resting-state EEG to Predict Visual Field Defect with Convolutional Neural Network in Stroke. NER 2021: 807-810 - [c151]Sayantan Polley, Rashmi Raju Koparde, Akshaya Bindu Gowri, Maneendra Perera, Andreas Nürnberger:
Towards Trustworthiness in the Context of Explainable Search. SIGIR 2021: 2580-2584 - [i15]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck:
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. CoRR abs/2102.02711 (2021) - [i14]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. CoRR abs/2102.12898 (2021) - [i13]Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck:
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data. CoRR abs/2103.09203 (2021) - [i12]Andargachew Mekonnen Gezmu, Andreas Nürnberger, Tesfaye Bayu Bati:
Extended Parallel Corpus for Amharic-English Machine Translation. AfricaNLP 2021 - [i11]Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nürnberger, Oliver Speck:
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models. CoRR abs/2105.14071 (2021) - [i10]Andargachew Mekonnen Gezmu, Binyam Ephrem Seyoum, Michael Gasser, Andreas Nürnberger:
Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus. CoRR abs/2106.07241 (2021) - [i9]Andargachew Mekonnen Gezmu, Tirufat Tesifaye Lema, Binyam Ephrem Seyoum, Andreas Nürnberger:
Manually Annotated Spelling Error Corpus for Amharic. AfricaNLP 2021 - [i8]Soumick Chatterjee, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, Andreas Nürnberger:
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models. CoRR abs/2110.08429 (2021) - [i7]Jiahua Xu, Philipp Ernst, Tung-Lung Liu, Andreas Nürnberger:
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images. CoRR abs/2110.13036 (2021) - [i6]Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. CoRR abs/2112.13443 (2021) - 2020
- [c150]Jiahua Xu, Wai Po Kevin Teng, Xiong Jun Wang, Andreas Nürnberger:
A Deep Supervised U-Attention Net for Pixel-Wise Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 278-289 - [c149]Sayantan Polley, Suhita Ghosh, Marcus Thiel, Michael Kotzyba, Andreas Nürnberger:
SIMFIC: An Explainable Book Search Companion. ICHMS 2020: 1-6 - [c148]Zheng Wu, Andreas Nürnberger, Bernhard A. Sabel:
Dynamic functional network response to visual stimulus in areas of residual vision. ICHMS 2020: 1-4 - [c147]Jiahua Xu, Tung-Lung Liu, Zhenglei Wu, Zheng Wu, Yang Li, Andreas Nürnberger:
Neurorehabilitation System in Virtual Reality with Low-Cost BCI Devices. ICHMS 2020: 1-3 - [c146]Chao Yan, Jiahua Xu, Bastian Klopfer, Andreas Nürnberger:
A Deep Neural Network based Multimodal Video Recognition System for Caring. ICHMS 2020: 1-5 - [c145]Afra'a Ahmad Alyosef, Christian Elias, Andreas Nürnberger:
Localization and Transformation Reconstruction of Image Regions: An Extended Congruent Triangles Approach. ICPR 2020: 3884-3891 - [c144]Afra'a Ahmad Alyosef, Andreas Nürnberger:
Hybrid Fuzzy Binning for Near-duplicate Image Retrieval: Combining Fuzzy Histograms and SIFT Keypoints. ICPRAM 2020: 241-248 - [c143]Bernhard Preim, Christian Hansen, Andreas Nürnberger:
Foreword / Frontmatter. MuC 2020 - [c142]Nirayo Hailu Gebreegziabher, Ingo Siegert, Andreas Nürnberger:
Improving Automatic Speech Recognition Utilizing Audio-codecs for Data Augmentation. MMSP 2020: 1-5 - [c141]Jiahua Xu, Kaveen Matta, Shaiful Islam, Andreas Nürnberger:
German Speech Recognition System using DeepSpeech. NLPIR 2020: 102-106 - [c140]Dennis Pierl, Kai Vahldiek, Julia Geißler, Bernd Rüger, Kai Michels, Frank Klawonn, Andreas Nürnberger:
Online model- and data-based leakage localization in district heating networks - Impact of random measurement errors. SMC 2020: 2331-2338 - [c139]Nirayo Hailu Gebreegziabher, Andreas Nürnberger:
Sub-word Based End-to-End Speech Recognition for an Under-Resourced Language: Amharic. SMC 2020: 3466-3470 - [c138]Jiahua Xu, Priyanka Mohan, Faxing Chen, Andreas Nürnberger:
A Real-time Hand Motion Detection System for Unsupervised Home Training. SMC 2020: 4224-4229 - [c137]Nirayo Hailu Gebreegziabher, Andreas Nürnberger:
A Light-weight Convolutional Neural Network based Speech Recognition for Spoken Content Retrieval Task. SMC 2020: 4309-4313 - [e17]Christian Hansen, Andreas Nürnberger, Bernhard Preim:
Mensch und Computer 2020 - Workshopband, Magdebug, Germany, September 6-9, 2020. Gesellschaft für Informatik e.V. 2020 [contents] - [i5]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i4]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020) - [i3]Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR abs/2006.10802 (2020) - [i2]Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger:
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation. CoRR abs/2011.10654 (2020) - [i1]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck:
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. CoRR abs/2011.14134 (2020)
2010 – 2019
- 2019
- [c136]Afra'a Ahmad Alyosef, Andreas Nürnberger:
Detecting Sub-Image Replicas: Retrieval and Localization of Zoomed-In Images. CAIP (2) 2019: 257-268 - [c135]Riddhi Gala, Jiahua Xu, Zheng Wu, Andreas Nürnberger:
Decoding SSVEP on time and frequency domain using Convolutional Neural Network. GBCIC 2019 - [c134]Thomas Low, Christian Hentschel, Sayantan Polley, Anustup Das, Harald Sack, Andreas Nürnberger, Sebastian Stober:
The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications. ISMIR 2019: 754-760 - [c133]Nirayo Hailu Gebreegziabher, Andreas Nürnberger:
An Amharic Syllable-Based Speech Corpus for Continuous Speech Recognition. SLSP 2019: 177-187 - [c132]Johannes Schwerdt, Michael Kotzyba, Andreas Nürnberger:
Fact-Finding or Exploration: Identifying Latent Behavior Clusters in User's Search Activities. SMC 2019: 1465-1471 - 2018
- [c131]William H. Beluch, Tim Genewein, Andreas Nürnberger, Jan M. Köhler:
The Power of Ensembles for Active Learning in Image Classification. CVPR 2018: 9368-9377 - [c130]Andargachew Mekonnen Gezmu, Andreas Nürnberger, Binyam Ephrem Seyoum:
Portable Spelling Corrector for a Less-Resourced Language: Amharic. LREC 2018 - [c129]Andreas Wendemuth, Ronald Böck, Andreas Nürnberger, Ayoub Al-Hamadi, André Brechmann, Frank W. Ohl:
Intention-Based Anticipatory Interactive Systems. SMC 2018: 2583-2588 - [c128]Michael Kotzyba, Johannes Schwerdt, Tatiana Gossen, Martin Krippl, Andreas Nürnberger:
The Effect of Motivational Goals on Information Search for Tasks of Varying Complexity Levels. SMC 2018: 2602-2607 - [c127]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth, Andreas Nürnberger:
Significance of Feature Differences in the Distinction of Mental-Load. SMC 2018: 2608-2613 - 2017
- [j35]Tatiana Gossen, Michael Kotzyba, Andreas Nürnberger:
Search Engine for Children: User-Centered Design. Datenbank-Spektrum 17(1): 61-67 (2017) - [j34]Dominic Stange, Michael Kotzyba, Andreas Nürnberger:
Professional Collaborative Information Seeking: Towards Traceable Search and Creative Sensemaking. Trans. Comput. Collect. Intell. 26: 1-25 (2017) - [c126]Michael Kotzyba, Tatiana Gossen, Johannes Schwerdt, Andreas Nürnberger:
Exploration or Fact-Finding: Inferring User's Search Activity Just in Time. CHIIR 2017: 87-96 - [c125]Thomas Low, Nikola Bubalo, Tatiana Gossen, Michael Kotzyba, André Brechmann, Anke Huckauf, Andreas Nürnberger:
Towards Identifying User Intentions in Exploratory Search using Gaze and Pupil Tracking. CHIIR 2017: 273-276 - [c124]Marcus Thiel, Philipp Ludwig, Till Mossakowski, Fabian Neuhaus, Andreas Nürnberger:
Web-Retrieval Supported Argument Space Exploration. CHIIR 2017: 309-312 - [c123]Johannes Schwerdt, Michael Kotzyba, Andreas Nürnberger:
Inferring user's search activity using interaction logs and gaze data. ICCT 2017: 1-6 - [c122]Peter Butka, Thomas Low, Michael Kotzyba, Stefan Haun, Andreas Nürnberger:
Exploration of Web Search Results Based on the Formal Concept Analysis. International KEYSTONE Conference 2017: 123-135 - [c121]Dominic Stange, Michael Kotzyba, Stefan Langer, Andreas Nürnberger:
Interpreting and Leveraging Browser Interaction for Exploratory Search Tasks. ICEIS (3) 2017: 191-197 - [c120]Ivonne Schröter, Jacob Krüger, Philipp Ludwig, Marcus Thiel, Andreas Nürnberger, Thomas Leich:
Identifying Innovative Documents: Quo vadis?. ICEIS (1) 2017: 653-658 - [c119]Laslo Dinges, Ayoub Al-Hamadi, Moftah Elzobi, Andreas Nürnberger:
Automatic recognition of common Arabic handwritten words based on OCR and N-GRAMS. ICIP 2017: 3625-3629 - [c118]Afra'a Ahmad Alyosef, Andreas Nürnberger:
The Effect of SIFT Features Properties in Descriptors Matching for Near-duplicate Retrieval Tasks. ICPRAM 2017: 703-710 - [c117]Thomas Low, Christian Hentschel, Sebastian Stober, Harald Sack, Andreas Nürnberger:
Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing. MMM (2) 2017: 198-208 - [p8]