標(biāo)題: Titlebook: Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis; First International Andrew Melbourne,Roxa [打印本頁] 作者: ISSUE 時間: 2025-3-21 17:08
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書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis影響因子(影響力)學(xué)科排名
書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis網(wǎng)絡(luò)公開度
書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis被引頻次
書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis被引頻次學(xué)科排名
書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis年度引用
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書目名稱Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis讀者反饋學(xué)科排名
作者: 竊喜 時間: 2025-3-21 20:26
Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Imagestesting interventions which are designed to maintain or improve muscle mass. The purpose of this paper is to report on an automated method of MRI-based thigh muscle segmentation framework that minimizes longitudinal deviation by using femur segmentation as a reference in a two-phase registration. Im作者: 籠子 時間: 2025-3-22 01:55 作者: 愛花花兒憤怒 時間: 2025-3-22 07:25 作者: 補助 時間: 2025-3-22 10:38 作者: 芳香一點 時間: 2025-3-22 13:40 作者: 芳香一點 時間: 2025-3-22 19:08 作者: 使人入神 時間: 2025-3-22 22:58 作者: 抱狗不敢前 時間: 2025-3-23 01:37
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach), with an objective to investigate how differences in estimated brain age and PMA were associated with the risk of Cerebral Palsy disorders (CP). Infants were scanned up to 2 times, between 29 and 46 weeks (w) PMA. We applied a deep learning 2D convolutional neural network (CNN) regression model to作者: 彎腰 時間: 2025-3-23 05:33
Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approached MRI volume, a set of 2D axial patches are extracted using a limited number of user-selected landmarks. In order to take into account the volumetric information, successive 2D axial patches are combined together, producing a set of pseudo RGB color images. These RGB images are then used as input f作者: 彎彎曲曲 時間: 2025-3-23 10:14
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compoundingighly influences the appearance of the image. View-dependent artifacts such as shadows can obstruct parts of the anatomy of interest and degrade the quality and usefulness of the image. If multiple images of the same structure are acquired from different views, view-dependent artifacts can be minimi作者: UNT 時間: 2025-3-23 15:51
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without Externats such as acoustic shadows. Compounding of overlapping 3D US acquisitions into a high-resolution volume can extend the field of view and remove image artefacts, which is useful for retrospective analysis including population based studies. However, such volume reconstructions require information ab作者: 無能的人 時間: 2025-3-23 18:12
Better Feature Matching for Placental Panorama Constructionterization of problematic vascular formations with a fetal endoscope. This surgery is made difficult by the poor visibility conditions of the intrauterine environment and the limited field of view of the endoscope. There have been efforts to address the limited field of view of fetal endoscopes with作者: Graphite 時間: 2025-3-24 01:21 作者: Morose 時間: 2025-3-24 02:58
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Imagesinspired by “Spatial Transformer Networks”. Images are co-aligned to a dual modality spatio-temporal atlas, where computational image analysis may be performed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method devel作者: jabber 時間: 2025-3-24 09:17 作者: hallow 時間: 2025-3-24 13:35 作者: 壟斷 時間: 2025-3-24 17:52 作者: 熱心助人 時間: 2025-3-24 19:37
https://doi.org/10.1007/978-3-031-35579-0testing interventions which are designed to maintain or improve muscle mass. The purpose of this paper is to report on an automated method of MRI-based thigh muscle segmentation framework that minimizes longitudinal deviation by using femur segmentation as a reference in a two-phase registration. Im作者: 惡意 時間: 2025-3-25 02:27
https://doi.org/10.1007/978-3-031-35579-0rs training of automated detectors challenging. Here, we present a transfer learning approach using convolutional neural networks to detect bone lesions in computed tomography imaging data. We compare different learning approaches, and demonstrate that pretraining a convolutional neural network on n作者: abject 時間: 2025-3-25 04:23
https://doi.org/10.1007/978-3-031-35579-0 MTV changes in esophageal (soft-tissue) cancer are measured by registering follow-up PET to baseline PET using the same transformation obtained by deformable registration of follow-up CT to baseline CT. Such approach is suboptimal because PET and CT capture fundamentally different properties (metab作者: Freeze 時間: 2025-3-25 09:25 作者: 興奮過度 時間: 2025-3-25 13:41
https://doi.org/10.1007/978-3-031-35579-0 rural areas of developing nations, ultrasound has the potential to be the key imaging modality due to its portability and cost. However, many ultrasound image analysis algorithms are not compatibly portable, with many taking several minutes to compute on modern CPUs..The contributions of this work 作者: Infuriate 時間: 2025-3-25 18:48 作者: Mri485 時間: 2025-3-25 23:55
Alessia Urbinati,Michela Brambatti proposed to simultaneously register a set of images from a population to a common reference space, thereby representing the population average. Similar to the standard Demons formulation, our approach takes as input an intensity image, but with an additional channel which contains phase-based featu作者: 闡明 時間: 2025-3-26 02:28 作者: Salivary-Gland 時間: 2025-3-26 04:45
Alessandro Maolo,Simona Masieroed MRI volume, a set of 2D axial patches are extracted using a limited number of user-selected landmarks. In order to take into account the volumetric information, successive 2D axial patches are combined together, producing a set of pseudo RGB color images. These RGB images are then used as input f作者: PRE 時間: 2025-3-26 12:14 作者: bibliophile 時間: 2025-3-26 16:08 作者: 眉毛 時間: 2025-3-26 17:04
A Lady with Facial Pigmentationterization of problematic vascular formations with a fetal endoscope. This surgery is made difficult by the poor visibility conditions of the intrauterine environment and the limited field of view of the endoscope. There have been efforts to address the limited field of view of fetal endoscopes with作者: 來就得意 時間: 2025-3-26 22:47
Bluish Gray Pigmented Macule on Right Cheekcenta shape and position are highly variable. As such, placental segmentation efforts to date have focused on interactive methods that require considerable user input, or automated methods with relatively low performance and various limitations. We propose a novel algorithm using a combination of de作者: enterprise 時間: 2025-3-27 01:53 作者: BOLT 時間: 2025-3-27 08:23 作者: rectum 時間: 2025-3-27 13:04 作者: Modicum 時間: 2025-3-27 13:36
https://doi.org/10.1007/978-3-030-00807-9Acoustics; Artificial intelligence; Biomarker analysis; Cancer research; Computer vision; Disease progres作者: 谷類 時間: 2025-3-27 17:53 作者: 無聊的人 時間: 2025-3-28 00:41 作者: 哪有黃油 時間: 2025-3-28 02:29 作者: foreign 時間: 2025-3-28 07:59 作者: Badger 時間: 2025-3-28 11:51 作者: 描繪 時間: 2025-3-28 17:04
Robert A. Norman DO,Justin Endo M.D. to that from the original SRM. The average dice index is 0.79 for SRM and 0.85 for the adaptive kernel-based SRM. In addition, the proposed method was successful in segmenting all 37 CT images while SRM failed in 5 images.作者: certain 時間: 2025-3-28 21:18
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Imagesperformed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method developed for multi-modal image registration. Furthermore, our method is robust and able to register highly misaligned images, with any initial orientation, where similarity-based methods typically fail.作者: 死亡 時間: 2025-3-29 00:01
Paediatric Liver Segmentation for Low-Contrast CT Images to that from the original SRM. The average dice index is 0.79 for SRM and 0.85 for the adaptive kernel-based SRM. In addition, the proposed method was successful in segmenting all 37 CT images while SRM failed in 5 images.作者: LAVA 時間: 2025-3-29 05:57 作者: 灌溉 時間: 2025-3-29 10:28
https://doi.org/10.1007/978-3-031-35579-0atural images improves detection accuracy. Also, we describe a patch extraction strategy which encodes different information into each input channel of the networks. We train and evaluate our approach on a dataset with 660 annotated bone lesions, and show how the resulting marker map high-lights lesions in computed tomography imaging data.作者: Delirium 時間: 2025-3-29 13:26 作者: Suggestions 時間: 2025-3-29 17:05 作者: 同位素 時間: 2025-3-29 20:58 作者: GLUE 時間: 2025-3-30 00:12 作者: 溫室 時間: 2025-3-30 04:22
Conference proceedings 2018 the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.. The 5 full papers presented at DATR作者: Eviction 時間: 2025-3-30 08:21 作者: 現(xiàn)存 時間: 2025-3-30 13:27
Laura Cipolletta,Michela Brambattiasound datasets comprising standard view planes as acquired during fetal screening. Moreover, the proposed method outperforms the state-of-the-art quantitatively and improves failure cases for automatic biometric measurement.作者: 運氣 時間: 2025-3-30 17:33
Alessia Urbinati,Michela Brambattiolumes collected from a population of 39 healthy fetal subjects at 23 gestational weeks. The resulting atlas manifests high structural overlap, and correspondence between the US-based and an age-matched fetal MRI-based atlas is observed.作者: Assault 時間: 2025-3-30 21:11
Giulia Pongetti,Azzurra Fabbriziolioints are weighted depending on their view, position and intensity. We demonstrate our method on the compounding of co-planar 2D fetal US images acquired from multiple views. Using quantitative and qualitative evaluation scores, we show that the proposed method outperforms other multi-view compounding methods.作者: 敵意 時間: 2025-3-31 04:39 作者: Congruous 時間: 2025-3-31 05:23
Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasoundel size for a 0.6% reduction in segmentation accuracy (mean Dice coefficient). We also demonstrate the clinical applicability of the work, showing that CNNs can be used to predict a trend between gestational age and adipose area.作者: Emasculate 時間: 2025-3-31 11:15
Automatic Shadow Detection in 2D Ultrasound Imagesasound datasets comprising standard view planes as acquired during fetal screening. Moreover, the proposed method outperforms the state-of-the-art quantitatively and improves failure cases for automatic biometric measurement.作者: 事情 時間: 2025-3-31 17:15
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlasolumes collected from a population of 39 healthy fetal subjects at 23 gestational weeks. The resulting atlas manifests high structural overlap, and correspondence between the US-based and an age-matched fetal MRI-based atlas is observed.作者: indices 時間: 2025-3-31 20:45
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compoundingoints are weighted depending on their view, position and intensity. We demonstrate our method on the compounding of co-planar 2D fetal US images acquired from multiple views. Using quantitative and qualitative evaluation scores, we show that the proposed method outperforms other multi-view compounding methods.作者: collagen 時間: 2025-4-1 01:09 作者: atrophy 時間: 2025-4-1 05:39
Conference proceedings 2018, computer-aided models of treatment response, and anomaly detection in recovery feedback..The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infantand paediatric period..作者: Paraplegia 時間: 2025-4-1 07:03