Search Results - "Fechter, T"

Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation by Schaefer, A., Vermandel, M., Baillet, C., Dewalle-Vignion, A. S., Modzelewski, R., Vera, P., Massoptier, L., Parcq, C., Gibon, D., Fechter, T., Nemer, U., Gardin, I., Nestle, U.

“…Purpose The aim of this study was to evaluate the impact of consensus algorithms on segmentation results when applied to clinical PET images. In particular,…”
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Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients by Dolz, J., Kirişli, H. A., Fechter, T., Karnitzki, S., Oehlke, O., Nestle, U., Vermandel, M., Massoptier, L.

“…Purpose: Accurate delineation of organs at risk (OARs) on computed tomography (CT) image is required for radiation treatment planning (RTP). Manual delineation…”
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Interobserver agreement on definition of the target volume in stereotactic radiotherapy for pancreatic adenocarcinoma using different imaging modalities by Gkika, E., Kostyszyn, D., Fechter, T., Moustakis, C., Ernst, F., Boda-Heggemann, J., Sarria, G., Dieckmann, K., Dobiasch, S., Duma, M. N., Eberle, F., Kroeger, K., Häussler, B., Izaguirre, V., Jazmati, D., Lautenschläger, S., Lohaus, F., Mantel, F., Menzel, J., Pachmann, S., Pavic, M., Radlanski, K., Riesterer, O., Gerum, S., Röder, F., Willner, J., Barczyk, S., Imhoff, D., Blanck, O., Wittig, A., Guckenberger, M., Grosu, Anca-L., Brunner, T. B.

“…Purpose The aim of this study was to evaluate interobserver agreement (IOA) on target volume definition for pancreatic cancer (PACA) within the Radiosurgery…”
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PO-0932: Preliminary clinical study to evaluate an interactive system to segment OARs in thoracic oncology by Dolz, J, Kirisli, H.A, Fechter, T, Karnitzki, S, Nestle, U, Vermandel, M, Massoptier, L

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EP-1711: Fast visual quality inspection of 4D PET/CT contouring of manual and semi-automatic contours by Schlachter, M, Fechter, T, Bühler, K, Nestle, U

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EP-1519: Tumor contour in 4D-PET: algorithm performance for different target movement, volume and heterogeneity by Carles, M, Fechter, T, Nemer, C, Schaefer, A, Mix, M, Nestle, U

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PO-0926: Voxel-based PSMA-PET/histopathology analysis in patients with primary prostate cancer by Zamboglou, C, Schiller, F, Fechter, T, Drendel, V, Jilg, C.A, Meyer, P.T, Mix, M, Grosu, A.L

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EP-1862: Impact of 4DPET/CT on normal tissue sparing for SBRT of central lung tumors by Adebahr, S, Schuster, D, Wiehle, R, Chirindel, A, Schimek-Jasch, T, Fechter, T, Mix, M, Grosu, A.L, Nestle, U

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Evaluation and Comparison of Segmentation Algorithms in Low Contrast FET-PET Scans for Gross Tumor Volume Delineation by Kraft, J.S, Fechter, T, Götz, I, Papke, T, Modzelewski, R, Lemarignier, C, Chirindel, A, Gardin, I, Grosu, A, Nestle, U

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Evaluation of an Integrated Minimally Interactive Tool for the Segmentation of Relevant Oar in Lung Cancer by Fechter, T, Dolz, J, Kirisli, H, Chirindel, A, Adebahr, S, Schimek-Jasch, T, Vermandel, M, Massoptier, L, Nestle, U

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Comparison of PET/CT and whole-mount histopathology sections of the human prostate: a new strategy for voxel-wise evaluation by Schiller, F., Fechter, T., Zamboglou, C., Chirindel, A., Salman, N., Jilg, C.A., Drendel, V., Werner, M., Meyer, P.T., Grosu, A.-L., Mix, M.

“…Background Implementation of PET/CT in diagnosis of primary prostate cancer (PCa) requires a profound knowledge about the tracer, preferably from a…”
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Malignant Glioma Delineation in Amino Acid PET-Images Using a 3D Random Walk Approach by Fechter, T, Mix, M, Gardin, I, Papke, T, Schimek-Jasch, T, Meyer, P, Grosu, A, Nestle, U

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Pulmonary Changes in FDG-PET/CT After Cure of Small Lung Tumors With Stereotactic Ablative Radiation Therapy (SBRT): Which Imaging Features Can Be Expected? by Schanne, D.H, Schumm, K, Mix, M, Duncker-Rohr, V, Fechter, T, Meyer, P.T, Grosu, A.L, Nestle, U

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EP-1705: Minimally interactive OAR and GTV segmentation in 4D FDG-18 PET/CT NSCLC: First clinical experience by Dolz, J, Kirisli, H, Jurisic, M, Fechter, T, Christ, U, Adebahr, S, Mix, M, Birkfellner, W, Massoptier, L, Nestle, U

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One-shot learning for Diffeomorphic deformable medical image registration and periodic motion tracking by Fechter, T., Baltas, D.

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OD99 - One-shot learning for Diffeomorphic deformable medical image registration and periodic motion tracking by Fechter, T., Baltas, D.

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A Framework to Create and Validate Synthetic Datasets for Survival Prediction in Radiation Oncology by Christoforou, A., Sprave, T., Stoian, R.G., Spohn, S.K.B., Ruehle, A., Nicolay, N.H., Fechter, T., Popp, I., Strouthos, I., Grosu, A., Zamboglou, C.

“…The implementation of synthetic data (SD) might enhance clinical research in radiation therapy (RT) while protecting patient privacy. Especially, in the era of…”
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PO-1733: Validation of PSMA-PET/CT based contouring techniques for intraprostatic tumor definition by Kostyszyn, D., Fechter, T., Baltas, D., Ruf, J., Mix, M., Bronsert, P., Grosu, A., Zamboglou, C.

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PO-1541: Predictive treatment planning with SIP (simultaneously integrated protection) based on TCP and NTCP by Thomann, B., Baltas, D., Sachpazidis, I., Fechter, T., Grosu, A., Brunner, T., Gkika, E.

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OD73 - How to identify robust PET image features for their use in quantitative analysis by Carles, M., Fechter, T., Baltas, D., Mix, M.

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