155 related articles for article (PubMed ID: 37296006)
1. Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs.
Mukherjee S; Korfiatis P; Khasawneh H; Rajamohan N; Patra A; Suman G; Singh A; Thakkar J; Patnam NG; Trivedi KH; Karbhari A; Chari ST; Truty MJ; Halfdanarson TR; Bolan CW; Sandrasegaran K; Majumder S; Goenka AH
Pancreatology; 2023 Aug; 23(5):522-529. PubMed ID: 37296006
[TBL] [Abstract][Full Text] [Related]
2. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
3. Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans.
Korfiatis P; Suman G; Patnam NG; Trivedi KH; Karbhari A; Mukherjee S; Cook C; Klug JR; Patra A; Khasawneh H; Rajamohan N; Fletcher JG; Truty MJ; Majumder S; Bolan CW; Sandrasegaran K; Chari ST; Goenka AH
Gastroenterology; 2023 Dec; 165(6):1533-1546.e4. PubMed ID: 37657758
[TBL] [Abstract][Full Text] [Related]
4. Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications.
Suman G; Patra A; Korfiatis P; Majumder S; Chari ST; Truty MJ; Fletcher JG; Goenka AH
Pancreatology; 2021 Aug; 21(5):1001-1008. PubMed ID: 33840636
[TBL] [Abstract][Full Text] [Related]
5. Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists.
Khasawneh H; Patra A; Rajamohan N; Suman G; Klug J; Majumder S; Chari ST; Korfiatis P; Goenka AH
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):841-847. PubMed ID: 36055122
[TBL] [Abstract][Full Text] [Related]
6. Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase.
Suman G; Panda A; Korfiatis P; Edwards ME; Garg S; Blezek DJ; Chari ST; Goenka AH
Abdom Radiol (NY); 2020 Dec; 45(12):4302-4310. PubMed ID: 32939632
[TBL] [Abstract][Full Text] [Related]
7. Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.
Said D; Carbonell G; Stocker D; Hectors S; Vietti-Violi N; Bane O; Chin X; Schwartz M; Tabrizian P; Lewis S; Greenspan H; Jégou S; Schiratti JB; Jehanno P; Taouli B
Eur Radiol; 2023 Sep; 33(9):6020-6032. PubMed ID: 37071167
[TBL] [Abstract][Full Text] [Related]
8. Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.
Mahmoudi T; Kouzahkanan ZM; Radmard AR; Kafieh R; Salehnia A; Davarpanah AH; Arabalibeik H; Ahmadian A
Sci Rep; 2022 Feb; 12(1):3092. PubMed ID: 35197542
[TBL] [Abstract][Full Text] [Related]
9. Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
Mukherjee S; Korfiatis P; Patnam NG; Trivedi KH; Karbhari A; Suman G; Fletcher JG; Goenka AH
Abdom Radiol (NY); 2024 Mar; 49(3):964-974. PubMed ID: 38175255
[TBL] [Abstract][Full Text] [Related]
10. Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies.
Kawamoto S; Zhu Z; Chu LC; Javed AA; Kinny-Köster B; Wolfgang CL; Hruban RH; Kinzler KW; Fouladi DF; Blanco A; Shayesteh S; Fishman EK
Abdom Radiol (NY); 2024 Feb; 49(2):501-511. PubMed ID: 38102442
[TBL] [Abstract][Full Text] [Related]
11. Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis.
Mukherjee S; Patra A; Khasawneh H; Korfiatis P; Rajamohan N; Suman G; Majumder S; Panda A; Johnson MP; Larson NB; Wright DE; Kline TL; Fletcher JG; Chari ST; Goenka AH
Gastroenterology; 2022 Nov; 163(5):1435-1446.e3. PubMed ID: 35788343
[TBL] [Abstract][Full Text] [Related]
12. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
Si K; Xue Y; Yu X; Zhu X; Li Q; Gong W; Liang T; Duan S
Theranostics; 2021; 11(4):1982-1990. PubMed ID: 33408793
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer.
Bereska JI; Janssen BV; Nio CY; Kop MPM; Kazemier G; Busch OR; Struik F; Marquering HA; Stoker J; Besselink MG; Verpalen IM;
Eur Radiol Exp; 2024 Feb; 8(1):18. PubMed ID: 38342782
[TBL] [Abstract][Full Text] [Related]
14. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
[TBL] [Abstract][Full Text] [Related]
15. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
[TBL] [Abstract][Full Text] [Related]
16. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
17. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
18. Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.
Fontenele RC; Gerhardt MDN; Picoli FF; Van Gerven A; Nomidis S; Willems H; Freitas DQ; Jacobs R
Clin Oral Implants Res; 2023 Jun; 34(6):565-574. PubMed ID: 36906917
[TBL] [Abstract][Full Text] [Related]
19. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
20. Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks.
Liang Y; Schott D; Zhang Y; Wang Z; Nasief H; Paulson E; Hall W; Knechtges P; Erickson B; Li XA
Radiother Oncol; 2020 Apr; 145():193-200. PubMed ID: 32045787
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
