816 research outputs found
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork
No full textCross-Entropy Method (CEM) is a gradient-free direct policy search method, which has greater stability and is insensitive to hyperparameter tuning. CEM bears similarity to population-based evolutionary methods, but, rather than using a population it uses a distribution over candidate solutions (policies in our case). Usually, a natural exponential family distribution such as multivariate Gaussian is used to parameterize the policy distribution. Using a multivariate Gaussian limits the quality of CEM policies as the search becomes confined to a less representative subspace. We address this drawback by using an adversarially-trained hypernetwork, enabling a richer and complex representation of the policy distribution. To achieve better training stability and faster convergence, we use a multivariate Gaussian CEM policy to guide our adversarial training process. Experiments demonstrate that our approach outperforms state-of-the-art CEM-based methods by 15.8% in terms of rewards while achieving faster convergence. Results also show that our approach is less sensitive to hyper-parameters than other deep-RL methods such as REINFORCE, DDPG and DQN.Interactive Intelligenc
Prostate Cancer
No full textThis edited volume Prostate Cancer is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of urologic oncology. The book comprises single chapters authored by various researchers and edited by an expert active in the urologic oncology research area. All chapters are complete in themselves but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors and opens new possible research paths for further novel developments
sj-tif-11-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-11-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
Treatment outcomes of metastasis-directed treatment using(68)Ga-PSMA-PET/CT for oligometastatic or oligorecurrent prostate cancer: Turkish Society for Radiation Oncology group study (TROD 09-002)
No full textselek, ugur/0000-0001-8087-3140; Onal, Cem/0000-0002-2742-9021; Zoto Mustafayev, Teuta/0000-0001-6029-1995WOS: 000545850300001PubMed: 32617620Purpose the aim of this study was to evaluate the outcomes of(68)Ga prostate-specific membrane antigen (Ga-68-PSMA) positron-emission tomography (PET)/CT-based metastasis-directed treatment (MDT) for oligometastatic prostate cancer (PC). Methods in this multi-institutional study, clinical data of 176 PC patients with 353 lesions receiving MDT between 2014 and 2019 were retrospectively evaluated. All patients had biopsy proven PC with = 3 acute toxicity, but one patient had a late grade 3 toxicity of compression fracture after spinal SBRT. Conclusion Ga-68-PSMA-PET/CT-based MDT is an efficient and safe treatment for oligometastatic PC patients. Proper patient selection might improve treatment outcomes
sj-tif-4-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-4-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
sj-tif-9-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-9-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
sj-tif-6-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-6-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
sj-tif-5-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-5-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
sj-tif-8-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-8-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
sj-tif-7-tam-10.1177_17588359221122720 – Supplemental material for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study
No full textSupplemental material, sj-tif-7-tam-10.1177_17588359221122720 for Real-world global data on targeting epidermal growth factor receptor mutations in stage III non-small-cell lung cancer: the results of the KINDLE study by Abdul Rahman Jazieh, Huseyin Cem Onal, Daniel Shao-Weng Tan, Ross A. Soo, Kumar Prabhash, Amit Kumar, Reto Huggenberger and Byoung Chul Cho in Therapeutic Advances in Medical Oncology</p
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