日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

The Impact of Next-Generation Sequencing on Interobserver Agreement and Diagnostic Accuracy of Deep Penetrating Melanocytic Neoplasms

下一代测序对深部浸润性黑色素细胞肿瘤的观察者间一致性和诊断准确性的影响

Jeyakumar, Julia Edwin; Addo, Afua Konadu; Beydoun, Haya Mary; Olivares, Shantel; Bahrami, Armita; Balamurugan, Thiagarajah; Barnhill, Raymond L; Blokx, Willeke A M; Busam, Klaus J; Cerroni, Lorenzo; Cook, Martin; de La Fouchardière, Arnaud; Duncan, Lyn M; Elder, David E; Ferguson, Peter; Ferrara, Gerardo; Johansson, Iva; Ko, Jennifer S; Kwon, Ji Eun; Landman, Gilles; Lezcano, Cecilia; Lowe, Lori; Massi, Daniela; Messina, Jane; Mihic-Probst, Daniela; Parker, Douglas C; Redpath, Margaret; Sargen, Michael R; Scolyer, Richard A; Shea, Christopher R; Tetzlaff, Michael; Torres-Cabala, Carlos; Tron, Victor; Xu, Xiaowei; Yeh, Iwei; Yun, Sook Jung; Zembowicz, Artur; Gerami, Pedram

Artificial intelligence-based classification of Spitz tumors

基于人工智能的Spitz肿瘤分类

Lucassen, Ruben T; Romers, Marjanna; Ebbelaar, Chiel F; Najem, Aia N; Hayes, Donal P; Mooyaart, Antien L; Roshani, Sara; Wynaendts, Liliane C D; Stathonikos, Nikolas; Breimer, Gerben E; Jansen, Anne M L; Veta, Mitko; Blokx, Willeke A M

Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes and Outcomes in Anti-PD-1-Based Treated Melanoma

人工智能检测肿瘤浸润淋巴细胞与抗PD-1治疗黑色素瘤的预后

Schuiveling, Mark; van Duin, Isabella A J; Ter Maat, Laurens S; van der Weerd, Janneke C; Verheijden, Rik J; van den Berkmortel, Franchette; Blank, Christian U; Breimer, Gerben E; Burgers, Femke H; Boers-Sonderen, Marye; van den Eertwegh, Alfons J M; de Groot, Jan Willem B; Haanen, John B A G; Hospers, Geke A P; Kapiteijn, Ellen; Piersma, Djura; Vreugdenhil, Gerard; Westgeest, Hans; Schrader, Anne M R; Pluim, Josien P W; van Diest, Paul J; Veta, Mitko; Suijkerbuijk, Karijn P M; Blokx, Willeke A M

Clinical outcomes and genomic profiles of MAP2K1-mutated primary cutaneous melanocytic tumours

MAP2K1突变型原发性皮肤黑色素细胞肿瘤的临床结果和基因组特征

Ebbelaar, Chiel F; Jansen, Anne M L; Speet, Leonie C M; Schutgens, Frans; Zoetemeyer, Sietske; Cleton-Jansen, Anne-Marie; van Dijk, Marijke R; Breimer, Gerben E; Bloem, Lourens T; de Leng, Wendy W J; van Doorn, Remco; Suijkerbuijk, Karijn P M; Schrader, Anne M R; Blokx, Willeke A M

Anti-PD-1 treatment response is associated with the influx of circulating myeloid and T-cell subsets into the metastatic melanoma tumor microenvironment

抗PD-1治疗反应与循环髓系细胞和T细胞亚群流入转移性黑色素瘤肿瘤微环境有关。

Van Dam, S; Krijgsman, D; Küçükköse, E; Verdonschot, M E L; Amini, M; Blokx, W A M; Van Eijs, M J M; Verheijden, R J; Kranenburg, O; Suijkerbuijk, K P M; Leusen, J H W; Vercoulen, Y

Adjuvant BRAF/MEK versus anti-PD-1 in BRAF-mutant melanoma: a propensity score matched survival analysis

BRAF/MEK 辅助治疗与抗 PD-1 治疗 BRAF 突变型黑色素瘤的疗效比较:倾向评分匹配生存分析

Bloem, M; de Meza, M M; van den Eertwegh, A J M; Aarts, M J B; van den Berkmortel, F W P J; Blank, C U; Blokx, W A M; Boers-Sonderen, M J; Bonenkamp, J J; Boreel, C D M; de Groot, J W B; Haanen, J B A G; Hospers, G A P; Kapiteijn, E; van Not, O J; Piersma, D; Rikhof, B; Stevense-den Boer, A M; van der Veldt, A A M; Vreugdenhil, G; Suijkerbuijk, K P M; Wouters, M W J M

A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks

一种用于黑色素瘤细胞核和组织分割的新型数据集,包含基线细胞核分割和组织分割基准。

Schuiveling, Mark; Liu, Hong; Eek, Daniel; Breimer, Gerben E; Suijkerbuijk, Karijn P M; Blokx, Willeke A M; Veta, Mitko

Genetic concordance in melanoma: insights from primary tumors and their matched distant metastases

黑色素瘤的遗传一致性:来自原发肿瘤及其匹配的远处转移灶的启示

Kerkour, Thamila; Meijers, Ruud W J; Hollestein, Loes M; Jansen, Anne M L; Haanappel, Ayla; Atmodimedjo, Peggy; Blokx, Willeke A M; van Brakel, Bas; Nijsten, Tamar E C; Mooyaart, Antien L

Artificial intelligence-based triaging of cutaneous melanocytic lesions

基于人工智能的皮肤黑色素细胞病变分诊

Lucassen, Ruben T; Stathonikos, Nikolas; Breimer, Gerben E; Veta, Mitko; Blokx, Willeke A M

Deep learning predicts the effect of neoadjuvant chemotherapy for patients with triple negative breast cancer

深度学习预测新辅助化疗对三阴性乳腺癌患者的影响

Sturm, B; Lock, P; Kumar, D; Blokx, W A M; van der Laak, J A W M