Weichert, Wilko

Targeted α-Therapy of Metastatic Castration-Resistant Prostate Cancer with 225Ac-PSMA-617: Dosimetry Estimate and Empiric Dose Finding

Kratochwil, C., Bruchertseifer, F., Rathke, H., Bronzel, M., Apostolidis, C., Weichert, W., Haberkorn, U., Giesel, F. L., & Morgenstern, A. (2017) · Journal of Nuclear Medicine

Radiopharmaceutical Chemistry and ApplicationsProstate Cancer Diagnosis and Treatment

Cited by 505

Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking

Weischenfeldt, J., Dubash, T., Drainas, A. P., Mardin, B. R., Chen, Y., Stütz, A. M., Waszak, S. M., Bosco, G., Halvorsen, A. R., Raeder, B., et al. (2017) · Nature Genetics

Cancer Genomics and DiagnosticsGenomics and Chromatin Dynamics

Cited by 404

Distinct types of tumor-initiating cells form human colon cancer tumors and metastases

Dieter, S. M., Ball, C. R., Hoffmann, C. M., Nowrouzi, A., Herbst, F., Zavidij, O., Abel, U., Arens, A., Weichert, W., Brand, K., et al. (2011) · Cell stem cell

Cancer Cells and MetastasisDevelopmental Biology and Gene Regulation

Cited by 297

Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers

Horak, P., Heining, C., Kreutzfeldt, S., Hutter, B., Mock, A., Hüllein, J., Fröhlich, M., Uhrig, S., Jahn, A., Rump, A., et al. (2021) · Cancer Discovery

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 290

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

Foersch, S., Glasner, C., Woerl, A.-C., Eckstein, M., Wagner, D.-C., Schulz, S., Kellers, F., Fernandez, A., Tserea, K., Kloth, M., et al. (2023) · Nature Medicine

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 251

Single-nucleus and in situ RNA-sequencing reveal cell topographies in the human pancreas

Tosti, L., Hang, Y., Debnath, O., Tiesmeyer, S., Trefzer, T., Steiger, K., Ten, F. W., Lukassen, S., Ballke, S., Kühl, A. A., et al. (2021) · Gastroenterology

Single-cell and spatial transcriptomicsPancreatic function and diabetes

Cited by 228

Pancreatic ductal adenocarcinoma progression is restrained by stromal matrix

Jiang, H., Torphy, R. J., Steiger, K., Hongo, H., Ritchie, A. J., Kriegsmann, M., Horst, D., Umetsu, S. E., Joseph, N. M., McGregor, K., et al. (2020) · Journal of Clinical Investigation

Pancreatic and Hepatic Oncology ResearchPancreatitis Pathology and Treatment

Cited by 127

Molecular signaling in multiple myeloma: association of RAS/RAF mutations and MEK/ERK pathway activation

Xu, J., Pfarr, N., Endris, V, Mai, E. K., Md Hanafiah, N. H., Lehners, N., Penzel, R., Weichert, W., Ho, A. D., Schirmacher, P., et al. (2017) · Oncogenesis

Multiple Myeloma Research and TreatmentsMelanoma and MAPK Pathways

Cited by 89

Neoadjuvant Therapy Remodels the Pancreatic Cancer Microenvironment via Depletion of Protumorigenic Immune Cells

Mota Reyes, C., Teller, S., Muckenhuber, A., Konukiewitz, B., Safak, O., Weichert, W., Friess, H., Ceyhan, G. O., & Demir, I. E. (2020) · Clinical Cancer Research

Pancreatic and Hepatic Oncology ResearchCancer Immunotherapy and Biomarkers

Cited by 80

A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging

Kaissis, G., Ziegelmayer, S., Lohöfer, F., Algül, H., Eiber, M., Weichert, W., Schmid, R., Friess, H., Rummeny, E., Ankerst, D., et al. (2019) · European Radiology Experimental

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 79

A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy

Kaissis, G., Ziegelmayer, S., Lohöfer, F., Steiger, K., Algül, H., Muckenhuber, A., Yen, H.-Y., Rummeny, E., Friess, H., Schmid, R., et al. (2019) · PLOS ONE

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 76

Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval

Peng, T., Boxberg, M., Weichert, W., Navab, N., & Marr, C. (2019) · Lecture Notes in Computer Science

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 48

Structure and content of the EU-IVDR: Current status and implications for pathology

Kahles, A., Goldschmid, H., Volckmar, A.-L., Ploeger, C., Kazdal, D., Penzel, R., Budczies, J., Kempny, G., Kazmierczak, M., Flechtenmacher, C., et al. (2023) · Die Pathologie

Healthcare RegulationClinical Laboratory Practices and Quality Control

Cited by 27