Search Results - "Ganslandt, Thomas"

Transfer learning for medical image classification: a literature review by Kim, Hee E, Cosa-Linan, Alejandro, Santhanam, Nandhini, Jannesari, Mahboubeh, Maros, Mate E, Ganslandt, Thomas

“…Transfer learning (TL) with convolutional neural networks aims to improve performances on a new task by leveraging the knowledge of similar tasks learned in…”
Get full text

The Status of Data Management Practices Across German Medical Data Integration Centers: Mixed Methods Study by Gierend, Kerstin, Freiesleben, Sherry, Kadioglu, Dennis, Siegel, Fabian, Ganslandt, Thomas, Waltemath, Dagmar

“…Background In the context of the Medical Informatics Initiative, medical data integration centers (DICs) have implemented complex data flows to transfer…”
Get full text

Simplified generation of biomedical 3D surface model data for embedding into 3D portable document format (PDF) files for publication and education by Newe, Axel, Ganslandt, Thomas

“…The usefulness of the 3D Portable Document Format (PDF) for clinical, educational, and research purposes has recently been shown. However, the lack of a simple…”
Get full text

Provenance Information for Biomedical Data and Workflows: Scoping Review by Gierend, Kerstin, Krüger, Frank, Genehr, Sascha, Hartmann, Francisca, Siegel, Fabian, Waltemath, Dagmar, Ganslandt, Thomas, Zeleke, Atinkut Alamirrew

“…The record of the origin and the history of data, known as provenance, holds importance. Provenance information leads to higher interpretability of scientific…”
Get full text

Ontology-based data integration between clinical and research systems by Mate, Sebastian, Köpcke, Felix, Toddenroth, Dennis, Martin, Marcus, Prokosch, Hans-Ulrich, Bürkle, Thomas, Ganslandt, Thomas

“…Data from the electronic medical record comprise numerous structured but uncoded elements, which are not linked to standard terminologies. Reuse of such data…”
Get full text

Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study by Gierend, Kerstin, Waltemath, Dagmar, Ganslandt, Thomas, Siegel, Fabian

“…Secondary investigations into digital health records, including electronic patient data from German medical data integration centers (DICs), pave the way for…”
Get full text

Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review by Scheer, Jan, Volkert, Alisa, Brich, Nicolas, Weinert, Lina, Santhanam, Nandhini, Krone, Michael, Ganslandt, Thomas, Boeker, Martin, Nagel, Till

“…Visual analysis and data delivery in the form of visualizations are of great importance in health care, as such forms of presentation can reduce errors and…”
Get full text

Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model by Kapsner, Lorenz A., Folle, Lukas, Hadler, Dominique, Eberle, Jessica, Balbach, Eva L., Liebert, Andrzej, Ganslandt, Thomas, Wenkel, Evelyn, Ohlmeyer, Sabine, Uder, Michael, Bickelhaupt, Sebastian

“…The purpose of this feasibility study is to investigate if latent diffusion models (LDMs) are capable to generate contrast enhanced (CE) MRI-derived…”
Get full text

Feasibility analysis of conducting observational studies with the electronic health record by von Lucadou, Marcel, Ganslandt, Thomas, Prokosch, Hans-Ulrich, Toddenroth, Dennis

“…The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies…”
Get full text

Digital Support to Multimodal Community-Based Prehabilitation: Looking for Optimization of Health Value Generation by Barberan-Garcia, Anael, Cano, Isaac, Bongers, Bart C., Seyfried, Steffen, Ganslandt, Thomas, Herrle, Florian, Martínez-Pallí, Graciela

“…Prehabilitation has shown its potential for most intra-cavity surgery patients on enhancing preoperative functional capacity and postoperative outcomes…”
Get full text

Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting by Bruland, Philipp, McGilchrist, Mark, Zapletal, Eric, Acosta, Dionisio, Proeve, Johann, Askin, Scott, Ganslandt, Thomas, Doods, Justin, Dugas, Martin

“…Data capture is one of the most expensive phases during the conduct of a clinical trial and the increasing use of electronic health records (EHR) offers…”
Get full text

Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium by Kamdje Wabo, Gaetan, Moorthy, Preetha, Siegel, Fabian, Seuchter, Susanne A, Ganslandt, Thomas

“…Leveraging electronic health record (EHR) data for clinical or research purposes heavily depends on data fitness. However, there is a lack of standardized…”
Get full text

Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings by Maros, Máté E., Cho, Chang Gyu, Junge, Andreas G., Kämpgen, Benedikt, Saase, Victor, Siegel, Fabian, Trinkmann, Frederik, Ganslandt, Thomas, Groden, Christoph, Wenz, Holger

“…Computer-assisted reporting (CAR) tools were suggested to improve radiology report quality by context-sensitively recommending key imaging biomarkers. However,…”
Get full text

Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review by Boehm, Dominik, Strantz, Cosima, Christoph, Jan, Busch, Hauke, Ganslandt, Thomas, Unberath, Philipp

“…Complex and expanding data sets in clinical oncology applications require flexible and interactive visualization of patient data to provide the maximum amount…”
Get full text

Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative by Bild, Raffael, Bialke, Martin, Buckow, Karoline, Ganslandt, Thomas, Ihrig, Kristina, Jahns, Roland, Merzweiler, Angela, Roschka, Sybille, Schreiweis, Björn, Stäubert, Sebastian, Zenker, Sven, Prasser, Fabian

“…The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data…”
Get full text

Data Quality- and Utility-Compliant Anonymization of Common Data Model-Harmonized Electronic Health Record Data: Protocol for a Scoping Review by Kamdje Wabo, Gaetan, Prasser, Fabian, Gierend, Kerstin, Siegel, Fabian, Ganslandt, Thomas

“…The anonymization of Common Data Model (CDM)-converted EHR data is essential to ensure the data privacy in the use of harmonized health care data. However,…”
Get full text

Rapid Convolutional Neural Networks for Gram-Stained Image Classification at Inference Time on Mobile Devices: Empirical Study from Transfer Learning to Optimization by Kim, Hee E, Maros, Mate E, Siegel, Fabian, Ganslandt, Thomas

“…Despite the emergence of mobile health and the success of deep learning (DL), deploying production-ready DL models to resource-limited devices remains…”
Get full text

Approaches and Criteria for Provenance in Biomedical Data Sets and Workflows: Protocol for a Scoping Review by Gierend, Kerstin, Krüger, Frank, Waltemath, Dagmar, Fünfgeld, Maximilian, Ganslandt, Thomas, Zeleke, Atinkut Alamirrew

“…Provenance supports the understanding of data genesis, and it is a key factor to ensure the trustworthiness of digital objects containing (sensitive)…”
Get full text

High-Dose Subconjunctival Cyclosporine A Implants Do Not Affect Corneal Neovascularization after High-Risk Keratoplasty by Bock, Felix, PhD, Matthaei, Mario, MD, Reinhard, Thomas, MD, Böhringer, Daniel, MD, Christoph, Jan, MSc, Ganslandt, Thomas, MD, Cursiefen, Claus, MD, PhD

“…Purpose To test whether subconjunctival cyclosporine A (CsA) implants affect the incidence and the degree of corneal neovascularization occurring after…”
Get full text

Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study by Kim, Hee E, Maros, Mate E, Miethke, Thomas, Kittel, Maximilian, Siegel, Fabian, Ganslandt, Thomas

“…We aimed to automate Gram-stain analysis to speed up the detection of bacterial strains in patients suffering from infections. We performed comparative…”
Get full text