Christoph Lippert

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 45

Top Topics

Image Segmentation

Gaussian Process

Supervised Learning

Top Venues

npj Digit. Medicine

Publications

Eshant English, Eliot Wong-Toi, Matteo Fontana, Stephan Mandt, Padhraic Smyth, Christoph Lippert
JANET: Joint Adaptive predictioN-region Estimation for Time-series. CoRR (2024)
Masoumeh Javanbakhat, Md Tasnimul Hasan, Christoph Lippert
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts. CoRR (2024)
Masoumeh Javanbakhat, Ludger Starke, Sonia Waiczies, Christoph Lippert
Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC. Comput. Vis. Image Underst. 241 (2024)
Eshant English, Matthias Kirchler, Christoph Lippert
Kernelised Normalising Flows. ICLR (2024)
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
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Jana Fehr, Brian Citro, Rohit Malpani, Christoph Lippert, Vince I. Madai
A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare. Frontiers Digit. Health 6 (2024)
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Iterative Patch Selection for High-Resolution Image Recognition. ICLR (2023)
Eshant English, Matthias Kirchler, Christoph Lippert
MixerFlow for Image Modelling. CoRR (2023)
Eshant English, Matthias Kirchler, Christoph Lippert
Kernelised Normalising Flows. CoRR (2023)
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
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes. Bioinform. 39 (9) (2023)
Alexander Rakowski, Christoph Lippert
DCID: Deep Canonical Information Decomposition. ECML/PKDD (2) (2023)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. ICML (2023)
Alexander Rakowski, Christoph Lippert
DCID: Deep Canonical Information Decomposition. CoRR (2023)
Masoumeh Javanbakhat, Christoph Lippert
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC. CoRR (2023)
Matthias Kirchler, Stefan Konigorski, Matthias Norden, Christian Meltendorf, Marius Kloft, Claudia Schurmann, Christoph Lippert
transferGWAS: GWAS of images using deep transfer learning. Bioinform. 38 (14) (2022)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. CoRR (2022)
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CVPR (2022)
Matthias Norden, Oliver T. Wolf, Lennart Lehmann, Katja Langer, Christoph Lippert, Hanna Drimalla
Automatic Detection of Subjective, Annotated and Physiological Stress Responses from Video Data. ACII (2022)
Jakob Lindinger, Barbara Rakitsch, Christoph Lippert
Laplace approximated Gaussian process state-space models. UAI (2022)
Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. CoRR (2022)
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Iterative Patch Selection for High-Resolution Image Recognition. CoRR (2022)
Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert
Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. Bildverarbeitung für die Medizin (2022)
Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. MIDL (2022)
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
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. npj Digit. Medicine 4 (2021)
Yamen Ali, Aiham Taleb, Marina M.-C. Höhne, Christoph Lippert
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout. CoRR (2021)
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
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. npj Digit. Medicine 4 (2021)
Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. CoRR (2021)
Jonas Kordt, Paul Brachmann, Daniel Limberger, Christoph Lippert
Interactive Volumetric Region Growing for Brain Tumor Segmentation on MRI using WebGL. Web3D (2021)
Alexander Rakowski, Christoph Lippert
Disentanglement and Local Directions of Variance. ECML/PKDD (3) (2021)
Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. CoRR (2021)
Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
Multimodal Self-supervised Learning for Medical Image Analysis. IPMI (2021)
Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert
Explainability Requires Interactivity. CoRR (2021)
Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gaertner, Benjamin Bergner, Christoph Lippert
3D Self-Supervised Methods for Medical Imaging. CoRR (2020)
Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gaertner, Benjamin Bergner, Christoph Lippert
3D Self-Supervised Methods for Medical Imaging. NeurIPS (2020)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. AISTATS (2020)
Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties. CoRR (2020)
Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida
Generative multi-adversarial network for striking the right balance in abdominal image segmentation. Int. J. Comput. Assist. Radiol. Surg. 15 (11) (2020)
Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Medical Imaging: Computer-Aided Diagnosis (2020)
Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties. NeurIPS (2020)
Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
Multimodal Self-Supervised Learning for Medical Image Analysis. CoRR (2019)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. CoRR (2019)
Seunghak Lee, Nico Görnitz, Eric P. Xing, David Heckerman, Christoph Lippert
Ensembles of Lasso Screening Rules. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Stefan Konigorski, Shahryar Khorasani, Christoph Lippert
Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease. CoRR (2018)
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft
Sparse probit linear mixed model. Mach. Learn. 106 (9-10) (2017)
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft
Separating Sparse Signals from Correlated Noise in Binary Classification. CFA@UAI (2016)
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft
Sparse Estimation in a Correlated Probit Model. CoRR (2015)
Christoph Lippert, David Heckerman
Computational and statistical issues in personalized medicine. XRDS 21 (4) (2015)
Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. 30 (22) (2014)
Barbara Rakitsch, Christoph Lippert, Oliver Stegle, Karsten M. Borgwardt
A Lasso multi-marker mixed model for association mapping with population structure correction. Bioinform. 29 (2) (2013)
Nicoló Fusi, Christoph Lippert, Karsten M. Borgwardt, Neil D. Lawrence, Oliver Stegle
Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinform. 29 (11) (2013)
Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman
A powerful and efficient set test for genetic markers that handles confounders. Bioinform. 29 (12) (2013)
Barbara Rakitsch, Christoph Lippert, Karsten M. Borgwardt, Oliver Stegle
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals. NIPS (2013)
Dominik G. Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten M. Borgwardt
easyGWAS: An integrated interspecies platform for performing genome-wide association studies CoRR (2012)
Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten M. Borgwardt
Efficient inference in matrix-variate Gaussian models with \iid observation noise. NIPS (2011)
Christoph Lippert, Zoubin Ghahramani, Karsten M. Borgwardt
Gene function prediction from synthetic lethality networks via ranking on demand. Bioinform. 26 (7) (2010)
Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten M. Borgwardt
A kernel method for unsupervised structured network inference. AISTATS (2009)