Christian Wachinger

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 113

Top Venues

Universität München (PHD)

Education History

Universität München

PHD

Publications

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. CoRR (2024)
Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI. Medical Image Anal. 93 (2024)
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. CoRR (2024)
Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI. CoRR (2024)
Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation. CoRR (2024)
Yitong Li, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger
PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models. CoRR (2024)
Fabian Bongratz, Jan Fecht, Anne-Marie Rickmann, Christian Wachinger
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence. CoRR (2024)
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI (2024)
Christian Wachinger, Dennis M. Hedderich, Fabian Bongratz
Stochastic Cortical Self-Reconstruction. CoRR (2024)
Morteza Ghahremani, Christian Wachinger
RegBN: Batch Normalization of Multimodal Data with Regularization. CoRR (2023)
Morteza Ghahremani, Christian Wachinger
RegBN: Batch Normalization of Multimodal Data with Regularization. NeurIPS (2023)
Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger
HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. IPMI (2023)
Anne-Marie Rickmann, Fabian Bongratz, Christian Wachinger
Vertex Correspondence in Cortical Surface Reconstruction. MICCAI (8) (2023)
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. CoRR (2023)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI (2023)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. CoRR (2023)
Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger
HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery. CoRR (2023)
Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations. CoRR (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) (2022)
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. CoRR (2022)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR (2022)
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) (2022)
Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR (2022)
Anne-Marie Rickmann, Jyotirmay Senapati, Oksana P. Kovalenko, Annette Peters, Fabian Bamberg, Christian Wachinger
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. BMC Medical Imaging 22 (1) (2022)
Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers Lifestyle flagship study of ageing
DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage 260 (2022)
Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR (2022)
Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI (2022)
Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CoRR (2022)
Ignacio Sarasua, Jonwong Lee, Christian Wachinger
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. ISBI (2021)
Sebastian Pölsterl, Christian Wachinger
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI (2021)
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
Detect and correct bias in multi-site neuroimaging datasets. Medical Image Anal. 67 (2021)
Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. MLMI@MICCAI (2021)
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR (2021)
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. CoRR (2021)
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
The Medical Segmentation Decathlon. CoRR (2021)
Sebastian Pölsterl, Christina Aigner, Christian Wachinger
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI (3) (2021)
Sebastian Pölsterl, Christina Aigner, Christian Wachinger
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. CoRR (2021)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR (2021)
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
Semi-Structured Deep Piecewise Exponential Models. SPACA (2021)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI (2021)
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI (2021)
Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains. CoRR (2021)
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Anal. 67 (2021)
Ignacio Sarasua, Jonwong Lee, Christian Wachinger
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. CoRR (2021)
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI (5) (2021)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI (2020)
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
Semi-Structured Deep Piecewise Exponential Models. CoRR (2020)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
Recalibrating 3D ConvNets with Project & Excite. CoRR (2020)
Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR (2020)
Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
Importance Driven Continual Learning for Segmentation Across Domains. MLMI@MICCAI (2020)
Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
Importance Driven Continual Learning for Segmentation Across Domains. CoRR (2020)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
Recalibration of Neural Networks for Point Cloud Analysis. 3DV (2020)
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
Detect and Correct Bias in Multi-Site Neuroimaging Datasets. CoRR (2020)
Sebastian Pölsterl, Christian Wachinger
Adversarial Learned Molecular Graph Inference and Generation. ECML/PKDD (2) (2020)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging 39 (7) (2020)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR (2020)
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39 (2) (2020)
Sebastian Pölsterl, Christian Wachinger
Controlling for Unknown Confounders in Neuroimaging. CoRR (2020)
Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William Wells, Matthew Toews
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020)
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
Recalibration of Neural Networks for Point Cloud Analysis. CoRR (2020)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR (2019)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) (2019)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI (2019)
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR (2019)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. IEEE Trans. Medical Imaging 38 (2) (2019)
Sebastian Pölsterl, Christian Wachinger
Likelihood-Free Inference and Generation of Molecular Graphs. CoRR (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI (2019)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186 (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR (2019)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR (2019)
Benjamín Gutiérrez-Becker, Christian Wachinger
Learning a Conditional Generative Model for Anatomical Shape Analysis. IPMI (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195 (2019)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) (2018)
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR (2018)
Christian Wachinger, Martin Reuter, Tassilo Klein
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. NeuroImage 170 (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. CoRR (2018)
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality. CoRR (2018)
Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. CoRR (2018)
Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI (2018)
Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger
Gaussian process uncertainty in age estimation as a measure of brain abnormality. NeuroImage 175 (2018)
Benjamín Gutiérrez-Becker, Christian Wachinger
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. CoRR (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. MICCAI (1) (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin (2018)
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR (2018)
Benjamín Gutiérrez-Becker, Christian Wachinger
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. MICCAI (3) (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI (2018)
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR (2017)
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Wachinger