Search Results - "Krahl, Dieter"

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images by Hekler, Achim, Utikal, Jochen S., Enk, Alexander H., Solass, Wiebke, Schmitt, Max, Klode, Joachim, Schadendorf, Dirk, Sondermann, Wiebke, Franklin, Cindy, Bestvater, Felix, Flaig, Michael J., Krahl, Dieter, von Kalle, Christof, Fröhling, Stefan, Brinker, Titus J.

“…The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high…”
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Spatiotemporal expression pattern of neuroepithelial stem cell marker nestin suggests a role in dermal homeostasis, neovasculogenesis, and tumor stroma development: A study on embryonic and adult human skin by Sellheyer, Klaus, MD, Krahl, Dieter, MD

“…Background Whereas keratinocytic bulge stem cells are well characterized, comparably little is known about cutaneous mesenchymal stem cells. The follicular…”
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Skin mesenchymal stem cells: Prospects for clinical dermatology by Sellheyer, Klaus, MD, Krahl, Dieter, MD

“…Stem cell–based therapies are expected to have a great impact on the medicine of the 21st century. The focus of dermatologic stem cell research is on the…”
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p16 Expression differentiates between desmoplastic Spitz nevus and desmoplastic melanoma by Hilliard, Nicholaus J., Krahl, Dieter, Sellheyer, Klaus

“…Background:  Loss of p16 in melanomas reflects worse outcomes for patients. It is associated with depth of invasion, ulceration, vascular invasion, lymph node…”
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Cutaneous mesenchymal stem cells: status of current knowledge, implications for dermatopathology by Sellheyer, Klaus, Krahl, Dieter

“…Stem cell biology is currently making its impact on medicine, which will probably increase over the next decades. It not only influences our therapeutic…”
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Galli-Galli disease is an acantholytic variant of Dowling-Degos disease: Additional genetic evidence in a German family by Schmieder, Astrid, MD, Pasternack, Sandra M., PhD, Krahl, Dieter, MD, Betz, Regina C., MD, Leverkus, Martin, MD

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Cutaneous sarcoidal granuloma after botulinum toxin type A injection by Assmann, Till, MD, Krahl, Dieter, MD, Mang, Renz, MD

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Does the peritumoral stroma of basal cell carcinoma recapitulate the follicular connective tissue sheath? by Sellheyer, Klaus, Krahl, Dieter

“…Background: There are compelling embryologic and anatomic relationships within adnexal tumors. However, these are mostly perceived within the epithelial…”
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Trichoadenoma of Nikolowski is a distinct neoplasm within the spectrum of follicular tumors by Shimanovich, Iakov, MD, Krahl, Dieter, MD, Rose, Christian, MD

“…Background Trichoadenoma is a rare benign follicular tumor first described by Nikolowski 50 years ago. Both trichoadenoma and desmoplastic trichoepithelioma…”
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Basal cell (trichoblastic) carcinoma by Sellheyer, Klaus, MD, Krahl, Dieter, MD

“…Background Basal cell carcinoma (BCC) is still viewed by many dermatologists as a tumor of the interfollicular epidermis, although references were made early…”
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Pathologist-level classification of histopathological melanoma images with deep neural networks by Hekler, Achim, Utikal, Jochen Sven, Enk, Alexander H., Berking, Carola, Klode, Joachim, Schadendorf, Dirk, Jansen, Philipp, Franklin, Cindy, Holland-Letz, Tim, Krahl, Dieter, von Kalle, Christof, Fröhling, Stefan, Brinker, Titus Josef

“…The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high…”
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Monoclonal antibody Ber-EP4 reliably discriminates between microcystic adnexal carcinoma and basal cell carcinoma by Krahl, Dieter, Sellheyer, Klaus

“…Background:  Sclerosing cutaneous neoplasms often represent a diagnostic challenge. The monoclonal antibody Ber‐EP4 recognizes two glycopolypeptides found in…”
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts by Haggenmüller, Sarah, Maron, Roman C., Hekler, Achim, Utikal, Jochen S., Barata, Catarina, Barnhill, Raymond L., Beltraminelli, Helmut, Berking, Carola, Betz-Stablein, Brigid, Blum, Andreas, Braun, Stephan A., Carr, Richard, Combalia, Marc, Fernandez-Figueras, Maria-Teresa, Ferrara, Gerardo, Fraitag, Sylvie, French, Lars E., Gellrich, Frank F., Ghoreschi, Kamran, Goebeler, Matthias, Guitera, Pascale, Haenssle, Holger A., Haferkamp, Sebastian, Heinzerling, Lucie, Heppt, Markus V., Hilke, Franz J., Hobelsberger, Sarah, Krahl, Dieter, Kutzner, Heinz, Lallas, Aimilios, Liopyris, Konstantinos, Llamas-Velasco, Mar, Malvehy, Josep, Meier, Friedegund, Müller, Cornelia S.L., Navarini, Alexander A., Navarrete-Dechent, Cristián, Perasole, Antonio, Poch, Gabriela, Podlipnik, Sebastian, Requena, Luis, Rotemberg, Veronica M., Saggini, Andrea, Sangueza, Omar P., Santonja, Carlos, Schadendorf, Dirk, Schilling, Bastian, Schlaak, Max, Schlager, Justin G., Sergon, Mildred, Sondermann, Wiebke, Soyer, H. Peter, Starz, Hans, Stolz, Wilhelm, Vale, Esmeralda, Weyers, Wolfgang, Zink, Alexander, Krieghoff-Henning, Eva, Kather, Jakob N., von Kalle, Christof, Lipka, Daniel B., Fröhling, Stefan, Hauschild, Axel, Kittler, Harald, Brinker, Titus J.

“…Multiple studies have compared the performance of artificial intelligence (AI)–based models for automated skin cancer classification to human experts, thus…”
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Basal cell (trichoblastic) carcinoma Common expression pattern for epithelial cell adhesion molecule links basal cell carcinoma to early follicular embryogenesis, secondary hair germ, and outer root sheath of the vellus hair follicle : A clue to the adnexal nature of basal cell carcinoma? by SELLHEYER, Klaus, KRAHL, Dieter

“…Basal cell carcinoma (BCC) is still viewed by many dermatologists as a tumor of the interfollicular epidermis, although references were made early in the…”
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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification by Höhn, Julia, Krieghoff-Henning, Eva, Jutzi, Tanja B., von Kalle, Christof, Utikal, Jochen S., Meier, Friedegund, Gellrich, Frank F., Hobelsberger, Sarah, Hauschild, Axel, Schlager, Justin G., French, Lars, Heinzerling, Lucie, Schlaak, Max, Ghoreschi, Kamran, Hilke, Franz J., Poch, Gabriela, Kutzner, Heinz, Heppt, Markus V., Haferkamp, Sebastian, Sondermann, Wiebke, Schadendorf, Dirk, Schilling, Bastian, Goebeler, Matthias, Hekler, Achim, Fröhling, Stefan, Lipka, Daniel B., Kather, Jakob N., Krahl, Dieter, Ferrara, Gerardo, Haggenmüller, Sarah, Brinker, Titus J.

“…Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses. We investigated whether a…”
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Blimp-1: a marker of terminal differentiation but not of sebocytic progenitor cells: A comparative analysis of embryonic and adult human skin with sebaceous neoplasms by SELLHEYER, Klaus, KRAHL, Dieter

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Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours by Brinker, Titus J., Kiehl, Lennard, Schmitt, Max, Jutzi, Tanja B., Krieghoff-Henning, Eva I., Krahl, Dieter, Kutzner, Heinz, Gholam, Patrick, Haferkamp, Sebastian, Klode, Joachim, Schadendorf, Dirk, Hekler, Achim, Fröhling, Stefan, Kather, Jakob N., Haggenmüller, Sarah, von Kalle, Christof, Heppt, Markus, Hilke, Franz, Ghoreschi, Kamran, Tiemann, Markus, Wehkamp, Ulrike, Hauschild, Axel, Weichenthal, Michael, Utikal, Jochen S.

“…Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical excision involves some risks for affected patients. In this…”
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Does the peritumoral stroma of basal cell carcinoma recapitulate the follicular connective tissue sheath?: A comparative analysis of nestin expression in basal cell carcinoma, trichoepithelioma, trichoblastoma and the hair follicle by SELLHEYER, Klaus, KRAHL, Dieter

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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists by Brinker, Titus J., Schmitt, Max, Krieghoff-Henning, Eva I., Barnhill, Raymond, Beltraminelli, Helmut, Braun, Stephan A., Carr, Richard, Fernandez-Figueras, Maria-Teresa, Ferrara, Gerardo, Fraitag, Sylvie, Gianotti, Raffaele, Llamas-Velasco, Mar, Müller, Cornelia S.L., Perasole, Antonio, Requena, Luis, Sangueza, Omar P., Santonja, Carlos, Starz, Hans, Vale, Esmeralda, Weyers, Wolfgang, Hekler, Achim, Kather, Jakob N., Fröhling, Stefan, Krahl, Dieter, Holland-Letz, Tim, Utikal, Jochen S., Saggini, Andrea, Kutzner, Heinz

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Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study by Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef

“…An increasing number of studies within digital pathology show the potential of artificial intelligence (AI) to diagnose cancer using histological whole slide…”
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