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20212025
most citedKnown Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future

33 citations · 94 across the 13 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.SD2022★ 1 cited

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis

Kubilay Can Demir, Matthias May, Axel Schmid +5

This paper presents a new multimodal interventional radiology dataset, called PoCaP (Port Catheter Placement) Corpus. This corpus consists of speech and audio signals in German, X-…

cs.CL2022★ 1 cited

Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices

Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa +3

Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models. However, the issue of privacy protection is an in…

cs.SD2022★ 15 cited

The effect of speech pathology on automatic speaker verification -- a large-scale study

Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster +3

Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutio…

eess.AS2022★ 1 cited

Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment

Tobias Weise, Philipp Klumpp, Kubilay Can Demir +5

Speech intelligibility assessment plays an important role in the therapy of patients suffering from pathological speech disorders. Automatic and objective measures are desirable to…

cs.CV2022★ 2 cited

SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks

Aline Sindel, Abner Hernandez, Seung Hee Yang +2

With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming. Therefore, automatic slide extraction from t…