Technische Universität München (TUM)

University / College


Location: München, Germany (DE) DE

ISNI: 0000000123222966

ROR: https://ror.org/02kkvpp62

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

On the Fairness of Privacy-Preserving Representations in Medical Applications (2020) Sarhan MH, Navab N, Eslami A, Albarqouni S Conference contribution Spatially-Aware Displays for Computer Assisted Interventions (2020) Winkler A, Eck U, Navab N Conference contribution Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders (2020) Sadafi A, Makhro A, Bogdanova A, Navab N, Peng T, Albarqouni S, Marr C Conference contribution SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI (2020) Baur C, Graf R, Wiestler B, Albarqouni S, Navab N Conference contribution TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks (2020) Czempiel T, Paschali M, Keicher M, Simson W, Feussner H, Kim ST, Navab N Conference contribution Decision Support for Intoxication Prediction Using Graph Convolutional Networks (2020) Burwinkel H, Keicher M, Bani-Harouni D, Zellner T, Eyer F, Navab N, Ahmadi SA Conference contribution Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons (2020) Brendle C, Schütz L, Esteban J, Krieg SM, Eck U, Navab N Conference contribution Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time (2020) Vivar G, Mullakaeva K, Zwergal A, Navab N, Ahmadi SA Conference contribution Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground (2020) Peng T, Lamm L, Loeffler D, Ahmed N, Navab N, Schroeder T, Marr C Conference contribution Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions (2020) Burwinkel H, Matz H, Saur S, Hauger C, Evren AM, Hirnschall N, Findl O, et al. Conference contribution