Christoph Lippert

72 papers A* 7A 3B 1Journal 47Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation. CoRR Anees Ur Rehman Hashmi, Numan Saeed, Christoph Lippert
2026	J	`jnl`	Large language models improve transferability of electronic health record-based predictions across countries and coding systems. npj Digit. Medicine Matthias Kirchler, Matteo Ferro, Veronica Lorenzini, Robin Van De Water, FinnGen, Christoph Lippert, Andrea Ganna
2026	J	`jnl`	Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging. CoRR Masoumeh Javanbakhat, Piotr Komorowski, Dilyara Bareeva, Wei-Cheng Lai, Wojciech Samek, Christoph Lippert
2025	J	`jnl`	JANET: Joint Adaptive predictioN-region Estimation for Time-series. Mach. Learn. Eshant English, Eliot Wong-Toi, Matteo Fontana, Stephan Mandt, Padhraic Smyth, Christoph Lippert
2025	J	`jnl`	JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows. CoRR Eshant English, Christoph Lippert
2025	J	`jnl`	Multimodal vs. unimodal approaches to uncertainty in 3D image segmentation under distribution shifts. Comput. Vis. Image Underst. Masoumeh Javanbakhat, Md Tasnimul Hasan, Christoph Lippert
2025	J	`jnl`	On the Challenges and Opportunities in Generative AI. Trans. Mach. Learn. Res. Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2025	A*	`conf`	Token Cropr: Faster ViTs for Quite a Few Tasks. CVPR Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2024	J	`jnl`	A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare. Frontiers Digit. Health Jana Fehr, Brian Citro, Rohit Malpani, Christoph Lippert, Vince I. Madai
2024	J	`jnl`	Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts. CoRR Masoumeh Javanbakhat, Md Tasnimul Hasan, Christoph Lippert
2024	J	`jnl`	Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series. CoRR Eshant English, Christoph Lippert
2024	J	`jnl`	Deep Nonparametric Conditional Independence Tests for Images. CoRR Marco Simnacher, Xiangnan Xu, Hani Park, Christoph Lippert, Sonja Greven
2024	—	`conf`	Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. MIDL Hadya Yassin, Jana Fehr, Wei-Cheng Lai, Alina Krichevsky, Alexander Rakowski, Christoph Lippert
2024	—	`conf`	Heterogeneous Medical Data Integration with Multi-Source StyleGAN. MIDL Wei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski, Hampus Olsson, Ludger Starke, Jason Michael Millward, Sonia Waiczies, Christoph Lippert
2024	J	`jnl`	JANET: Joint Adaptive predictioN-region Estimation for Time-series. CoRR Eshant English, Eliot Wong-Toi, Matteo Fontana, Stephan Mandt, Padhraic Smyth, Christoph Lippert
2024	A*	`conf`	Kernelised Normalising Flows. ICLR Eshant English, Matthias Kirchler, Christoph Lippert
2024	J	`jnl`	Metadata-guided feature disentanglement for functional genomics. Bioinform. Alexander Rakowski, Remo Monti, Viktoriia Huryn, Marta Lemanczyk, Uwe Ohler, Christoph Lippert
2024	—	`conf`	MixerFlow: MLP-Mixer Meets Normalising Flows. ECML/PKDD (1) Eshant English, Matthias Kirchler, Christoph Lippert
2024	J	`jnl`	On the Challenges and Opportunities in Generative AI. CoRR Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2024	J	`jnl`	Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC. Comput. Vis. Image Underst. Masoumeh Javanbakhat, Ludger Starke, Sonia Waiczies, Christoph Lippert
2024	J	`jnl`	Token Cropr: Faster ViTs for Quite a Few Tasks. CoRR Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2023	J	`jnl`	A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC. CoRR Masoumeh Javanbakhat, Christoph Lippert
2023	—	`conf`	DCID: Deep Canonical Information Decomposition. ECML/PKDD (2) Alexander Rakowski, Christoph Lippert
2023	J	`jnl`	DCID: Deep Canonical Information Decomposition. CoRR Alexander Rakowski, Christoph Lippert
2023	J	`jnl`	HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes. Bioinform. Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2023	A*	`conf`	Iterative Patch Selection for High-Resolution Image Recognition. ICLR Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2023	J	`jnl`	Kernelised Normalising Flows. CoRR Eshant English, Matthias Kirchler, Christoph Lippert
2023	J	`jnl`	MixerFlow for Image Modelling. CoRR Eshant English, Matthias Kirchler, Christoph Lippert
2023	A*	`conf`	Training Normalizing Flows from Dependent Data. ICML Matthias Kirchler, Christoph Lippert, Marius Kloft
2022	B	`conf`	Automatic Detection of Subjective, Annotated and Physiological Stress Responses from Video Data. ACII Matthias Norden, Oliver T. Wolf, Lennart Lehmann, Katja Langer, Christoph Lippert, Hanna Drimalla
2022	A*	`conf`	ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CVPR Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
2022	—	`conf`	Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. Bildverarbeitung für die Medizin Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert
2022	—	`conf`	Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. MIDL Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert
2022	J	`jnl`	Iterative Patch Selection for High-Resolution Image Recognition. CoRR Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2022	A	`conf`	Laplace approximated Gaussian process state-space models. UAI Jakob Lindinger, Barbara Rakitsch, Christoph Lippert
2022	J	`jnl`	Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. CoRR Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert
2022	J	`jnl`	Training Normalizing Flows from Dependent Data. CoRR Matthias Kirchler, Christoph Lippert, Marius Kloft
2022	J	`jnl`	transferGWAS: GWAS of images using deep transfer learning. Bioinform. Matthias Kirchler, Stefan Konigorski, Matthias Norden, Christian Meltendorf, Marius Kloft, Claudia Schurmann, Christoph Lippert
2021	J	`jnl`	Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. npj Digit. Medicine Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana
2021	J	`jnl`	ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CoRR Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
2021	—	`conf`	Disentanglement and Local Directions of Variance. ECML/PKDD (3) Alexander Rakowski, Christoph Lippert
2021	J	`jnl`	Explainability Requires Interactivity. CoRR Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert
2021	—	`conf`	Interactive Volumetric Region Growing for Brain Tumor Segmentation on MRI using WebGL. Web3D Jonas Kordt, Paul Brachmann, Daniel Limberger, Christoph Lippert
2021	J	`jnl`	Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. CoRR Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert
2021	—	`conf`	Multimodal Self-supervised Learning for Medical Image Analysis. IPMI Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
2021	J	`jnl`	Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. npj Digit. Medicine Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana
2021	J	`jnl`	Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout. CoRR Yamen Ali, Aiham Taleb, Marina M.-C. Höhne, Christoph Lippert
2020	A*	`conf`	3D Self-Supervised Methods for Medical Imaging. NeurIPS Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert
2020	J	`jnl`	3D Self-Supervised Methods for Medical Imaging. CoRR Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert
2020	A*	`conf`	Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties. NeurIPS Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch
2020	J	`jnl`	Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties. CoRR Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch
2020	J	`jnl`	Generative multi-adversarial network for striking the right balance in abdominal image segmentation. Int. J. Comput. Assist. Radiol. Surg. Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida
2020	—	`conf`	Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Computer-Aided Diagnosis Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
2020	A	`conf`	Two-sample Testing Using Deep Learning. AISTATS Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
2019	J	`jnl`	Multimodal Self-Supervised Learning for Medical Image Analysis. CoRR Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
2019	J	`jnl`	Two-sample Testing Using Deep Learning. CoRR Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
2018	J	`jnl`	Ensembles of Lasso Screening Rules. IEEE Trans. Pattern Anal. Mach. Intell. Seunghak Lee, Nico Görnitz, Eric P. Xing, David Heckerman, Christoph Lippert
2018	J	`jnl`	Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease. CoRR Stefan Konigorski, Shahryar Khorasani, Christoph Lippert
2017	J	`jnl`	Sparse probit linear mixed model. Mach. Learn. Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft
2016	—	`conf`	Separating Sparse Signals from Correlated Noise in Binary Classification. CFA@UAI Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft
2015	J	`jnl`	Computational and statistical issues in personalized medicine. XRDS Christoph Lippert, David Heckerman
2015	J	`jnl`	Sparse Estimation in a Correlated Probit Model. CoRR Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft
2014	J	`jnl`	Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
2013	J	`jnl`	A Lasso multi-marker mixed model for association mapping with population structure correction. Bioinform. Barbara Rakitsch, Christoph Lippert, Oliver Stegle, Karsten M. Borgwardt
2013	J	`jnl`	A powerful and efficient set test for genetic markers that handles confounders. Bioinform. Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman
2013	J	`jnl`	Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinform. Nicoló Fusi, Christoph Lippert, Karsten M. Borgwardt, Neil D. Lawrence, Oliver Stegle
2013	—	`conf`	It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals. NIPS Barbara Rakitsch, Christoph Lippert, Karsten M. Borgwardt, Oliver Stegle
2012	J	`jnl`	easyGWAS: An integrated interspecies platform for performing genome-wide association studies CoRR Dominik G. Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten M. Borgwardt
2011	—	`conf`	Efficient inference in matrix-variate Gaussian models with \iid observation noise. NIPS Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten M. Borgwardt
2010	J	`jnl`	Gene function prediction from synthetic lethality networks via ranking on demand. Bioinform. Christoph Lippert, Zoubin Ghahramani, Karsten M. Borgwardt
2009	A	`conf`	A kernel method for unsupervised structured network inference. AISTATS Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten M. Borgwardt
2009	—	`conf`	Relational Models for Generating Labeled Real-world Graphs. MLG/SRL@ILP Christoph Lippert, Nino Shervashidze, Oliver Stegle