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Tim Holland-Letz

Statistiker

Name	Tim Holland-Letz
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr. rer. nat.
Beruf	Statistiker (charakteristischer Beruf) Dozent
Variante	Tim Holland- Letz
Beziehung	Universität Heidelberg. Medizinische Fakultät (Lehrbeauftragter) Universitätsklinikum Heidelberg Deutsches Krebsforschungszentrum Ruhr-Universität Bochum. Medizinische Fakultät Biometrie (Thema)
Datensatztyp	Person
GND-Nummer	142336491
Datensatz-ID	142336491
Beteiligt an alle anzeigen Synergy of retinoic acid and BH3 mimetics in MYC(N)-driven embryonal nervous system tumours Deep neural networks are superior to dermatologists in melanoma image classification Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning OTHR-04. Development of a functional plattform for real-time personalized drug sensitivity profiling of patient-derived 3D fresh tumor tissue cultures in the pediatric precision oncology program INFORM [Abstract] Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists Drug sensitivity profiling of 3D tumor tissue cultures in the pediatric precision oncology program INFORM Inflammatory exposure drives long-lived impairment of hematopoietic stem cell self-renewal activity and accelerated aging Deep learning can predict lymph node status directly from histology in colorectal cancer Clinical outcome of PSMA-guided radiotherapy for patients with oligorecurrent prostate cancer The design heatmap: A simple visualization of D ‐optimality design problems Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies Modeling dose–response functions for combination treatments with log-logistic or Weibull functions Impact of long-term androgen deprivation therapy on PSMA ligand PET/CT in patients with castration-sensitive prostate cancer Tracer uptake in mediastinal and paraaortal thoracic lymph nodes as a potential pitfall in image interpretation of PSMA ligand PET/CT Role of CT Density in PET/CT-Based Assessment of Lymphoma Efficient algorithms for calculating optimal designs in pharmacokinetics and dose finding studies A geometric characterization of c-optimal designs for heteroscedastic regression A geometric characterization of c-optimal designs for regression models with correlated observations Bestimmung c-optmimaler Versuchspläne in Modellen mit zufälligen Effekten, mit Anwendungen in der Pharmakokinetik Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics

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Tim Holland-Letz

Synergy of retinoic acid and BH3 mimetics in MYC(N)-driven embryonal nervous system tumours

Deep neural networks are superior to dermatologists in melanoma image classification

Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning

OTHR-04. Development of a functional plattform for real-time personalized drug sensitivity profiling of patient-derived 3D fresh tumor tissue cultures in the pediatric precision oncology program INFORM [Abstract]

Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists

Drug sensitivity profiling of 3D tumor tissue cultures in the pediatric precision oncology program INFORM

Inflammatory exposure drives long-lived impairment of hematopoietic stem cell self-renewal activity and accelerated aging

Deep learning can predict lymph node status directly from histology in colorectal cancer

Clinical outcome of PSMA-guided radiotherapy for patients with oligorecurrent prostate cancer

The design heatmap: A simple visualization of D ‐optimality design problems

Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies

Modeling dose–response functions for combination treatments with log-logistic or Weibull functions

Impact of long-term androgen deprivation therapy on PSMA ligand PET/CT in patients with castration-sensitive prostate cancer

Tracer uptake in mediastinal and paraaortal thoracic lymph nodes as a potential pitfall in image interpretation of PSMA ligand PET/CT

Role of CT Density in PET/CT-Based Assessment of Lymphoma

Efficient algorithms for calculating optimal designs in pharmacokinetics and dose finding studies

A geometric characterization of c-optimal designs for heteroscedastic regression

A geometric characterization of c-optimal designs for regression models with correlated observations

Bestimmung c-optmimaler Versuchspläne in Modellen mit zufälligen Effekten, mit Anwendungen in der Pharmakokinetik

Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics