Jens Peter Klußmann

Evaluation of an HPV16-L1 antibody rapid test for oropharyngeal cancer diagnosis: diagnostic accuracy and challenges in real-world settings

Vocal fold augmentation with autologous fat following transoral laryngeal surgery.

An agentic framework for autonomous scientific discovery in cancer pathology.

Genomic Enrichment and Functional Impact of TP53 and CYLD Alterations in Recurrent and Metastatic HPV-Associated Head and Neck Cancer.

Radiological Features of Human Papillomavirus (HPV)-Positive and HPV-Negative Oropharyngeal Squamous Cell Carcinoma (OPSCC)—Considerations for Multimodal Analysis

Evaluation of an HPV16-L1 antibody rapid test for oropharyngeal cancer diagnosis: diagnostic accuracy and challenges in real-world settings

Local T-Cell Dysregulation and Immune Checkpoint Expression in Human Papillomavirus-Mediated Recurrent Respiratory Papillomatosis.

Quantification of human papillomavirus cell-free DNA from low-volume blood plasma samples by digital PCR

Combination of nivolumab with standard induction chemotherapy in children and adults with EBV-positive nasopharyngeal carcinoma

Analysis of Expression and Regulation of AKR1C2 in HPV-Positive and -Negative Oropharyngeal Squamous Cell Carcinoma.

Cochlear measurement in computed tomography and magnetic resonance imaging data sets by the Otoplan measurement tool: a retrospective comparative study.

Prognostic implications of p16 and HPV discordance in oropharyngeal cancer (HNCIG-EPIC-OPC): a multicentre, multinational, individual patient data analysis

Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients

Predictors for Survival of Patients with Squamous Cell Carcinoma of Unknown Primary in the Head and Neck Region

Predictors for Survival of Patients with Squamous Cell Carcinoma of Unknown Primary in the Head and Neck Region.

Peroxisomes Are Highly Abundant and Heterogeneous in Human Parotid Glands.

Table S5 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S5 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Data from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S2 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S4 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S1 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Data from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S3 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Supplementary Figures from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Supplementary Figures from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S2 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S1 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S4 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains

Table S3 from Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains