Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams | Paper Citation Record

Observation 610dac8c-b1a4-47b0-a0fb-f056aae63cf9 · outbound

This paper cites Automatic 3D segmentation of the kidney in mr images using wavelet feature extraction and probability shape model.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Automatic 3D segmentation of the kidney in mr images using wavelet feature extraction and probability shape model

Reference 1

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This paper cites Spatial PixelCNN: Generating Images from Patches.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Spatial PixelCNN: Generating Images from Patches

Reference 2

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This paper cites Graph cuts and eﬃcient nd image seg- mentation.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Graph cuts and eﬃcient nd image seg- mentation

Reference 3

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This paper cites Y., Jolly, M.-P., 2001.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Y., Jolly, M.-P., 2001

Reference 4

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This paper cites Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding

Reference 5

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This paper cites S., Hwang, J.-N., Yuan, C., 2017.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams S., Hwang, J.-N., Yuan, C., 2017

Reference 6

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This paper cites F., Elshaer, M.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams F., Elshaer, M

Reference 7

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This paper cites Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images

Reference 8

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This paper cites S., Brox, T., Ronneberger, O.,.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams S., Brox, T., Ronneberger, O.,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:39.199228Z

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This paper cites D., Mory, B., Ardon, R., 2012.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams D., Mory, B., Ardon, R., 2012

Reference 10

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This paper cites F., Niessen, W.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams F., Niessen, W

Reference 11

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This paper cites J., Joskowicz, L., Sosna, J., 2010.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams J., Joskowicz, L., Sosna, J., 2010

Reference 12

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This paper cites Multiple hypothesis template tracking of small 3D vessel structures.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Multiple hypothesis template tracking of small 3D vessel structures

Reference 13

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Unresolved cited work

Reference 14

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Unresolved cited work

Reference 15

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This paper cites P., Xu, Z., George, K., Lu, L., Summers, R.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams P., Xu, Z., George, K., Lu, L., Summers, R

Reference 16

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This paper cites Brain tumor segmentation with deep neural networks.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Brain tumor segmentation with deep neural networks

Reference 17

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This paper cites Statistical shape models for 3D medical image segmentation: a review.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Statistical shape models for 3D medical image segmentation: a review

Reference 18

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This paper cites Feasibility and accuracy of computational robot-assisted partial nephrectomy planning by virtual partial nephrectomy analysis.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Feasibility and accuracy of computational robot-assisted partial nephrectomy planning by virtual partial nephrectomy analysis

Reference 19

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This paper cites F., Simpson, J.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams F., Simpson, J

Reference 20

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Unresolved cited work

Reference 21

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This paper cites Computer-aided kidney seg- mentation on abdominal CT images.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Computer-aided kidney seg- mentation on abdominal CT images

Reference 22

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Segmenting retinal blood vessels with deep neural networks

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams A learning- based automatic clinical organ segmentation in medical images

Reference 24

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This paper cites 3D segmentation in the clinic: A grand challenge ii-coronary artery tracking.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams 3D segmentation in the clinic: A grand challenge ii-coronary artery tracking

Reference 25

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This paper cites V-net: Fully convolu- tional neural networks for volumetric medical image segmentation.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams V-net: Fully convolu- tional neural networks for volumetric medical image segmentation

Reference 26

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This paper cites A diﬀerential geometric approach to the geometric mean of symmetric positive-deﬁnite matrices.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams A diﬀerential geometric approach to the geometric mean of symmetric positive-deﬁnite matrices

Reference 27

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This paper cites G., Hori, M., Summers, R.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams G., Hori, M., Summers, R

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This paper cites A riemannian framework for tensor computing.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams A riemannian framework for tensor computing

Reference 29

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This paper cites U-net: Convolutional net- works for biomedical image segmentation.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams U-net: Convolutional net- works for biomedical image segmentation

Reference 30

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This paper cites Towards dense volumetric pancreas segmentation in CT using 3d fully convolutional networks.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Towards dense volumetric pancreas segmentation in CT using 3d fully convolutional networks

Reference 31

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This paper cites R., Lu, L., Lay, N., Harrison, A.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams R., Lu, L., Lay, N., Harrison, A

Reference 32

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This paper cites R., Oda, H., Zhou, X., Shimizu, N., Yang, Y., Hayashi, Y., Oda, M., Fujiwara, M., Misawa, K., Mori, K., 2018.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams R., Oda, H., Zhou, X., Shimizu, N., Yang, Y., Hayashi, Y., Oda, M., Fujiwara, M., Misawa, K., Mori, K., 2018

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This paper cites R., Shen, C., Oda, H., Oda, M., Hayashi, Y., Misawa, K., Mori, K., 2018.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams R., Shen, C., Oda, H., Oda, M., Hayashi, Y., Misawa, K., Mori, K., 2018

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This paper cites Grabcut: Interactive fore- ground extraction using iterated graph cuts.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Grabcut: Interactive fore- ground extraction using iterated graph cuts

Reference 35

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This paper cites Three-dimensional multi-scale line ﬁlter for segmentation and visualization of curvilinear structures in medical images.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Three-dimensional multi-scale line ﬁlter for segmentation and visualization of curvilinear structures in medical images

Reference 36

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Observation ade22f00-c480-4ce2-ad87-e5d3cc3df3d3 · outbound

This paper cites Laparoscopic partial nephrectomy with segmental renal artery clamping: technique and clinical outcomes.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Laparoscopic partial nephrectomy with segmental renal artery clamping: technique and clinical outcomes

Reference 37

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This paper cites Precise segmental renal artery clamping un- der the guidance of dual-source computed tomography angiography during laparoscopic partial nephrectomy.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Precise segmental renal artery clamping un- der the guidance of dual-source computed tomography angiography during laparoscopic partial nephrectomy

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This paper cites On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks

Reference 39

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Observation 215b553b-36a1-412b-9273-97f8ff914ba0 · outbound

This paper cites Kidney seg- mentation in CT data using hybrid level-set method with ellipsoidal shape constraints.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Kidney seg- mentation in CT data using hybrid level-set method with ellipsoidal shape constraints

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.965976Z

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Observation a8d2d811-fc41-4fd4-b90b-3658b8763d42 · outbound

This paper cites J., 2016.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams J., 2016

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Observation 376d1f93-d704-4a38-a634-afb2f2a43a42 · outbound

This paper cites S., 2012.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams S., 2012

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Observation cb0067ca-e637-412c-b2a4-26aa70f7b1ee · outbound

This paper cites Precise renal artery segmentation for estimation of renal vascular dominant regions.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Precise renal artery segmentation for estimation of renal vascular dominant regions

Reference 43

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Observation 14c092e7-4e36-4241-96a1-555ff9ac5516 · outbound

This paper cites F., Mori, K., 2016.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams F., Mori, K., 2016

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.937873Z

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Observation 4ca7680a-d1bb-42f2-bffe-723dec6d1d4d · outbound

This paper cites M., Leiner, T., Viergever, M.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams M., Leiner, T., Viergever, M

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.930818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7c388bc-47df-4e70-b9f3-071500cd651b · outbound

This paper cites Computational analysis of recovery from is- chemic damage to kidney function undergoing robotic partial nephrectomy for renal tumor.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Computational analysis of recovery from is- chemic damage to kidney function undergoing robotic partial nephrectomy for renal tumor

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.923882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2206d3b8-f7ba-4c33-ad49-6b99c8ea9663 · outbound

This paper cites Deep learning based automatic segmentation of pathological kidney in CT: Local versus global image context.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Deep learning based automatic segmentation of pathological kidney in CT: Local versus global image context

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.916714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 894ce2ce-218d-4673-968d-5992baa445d1 · outbound

This paper cites Constructing a probabilistic model for automated liver region segmentation using non-contrast x-ray torso ct images.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Constructing a probabilistic model for automated liver region segmentation using non-contrast x-ray torso ct images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.909193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2e1e33e-121b-49e1-98c1-20cd8dd2d50f · outbound

This paper cites Anatomynet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Anatomynet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.902046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18bdbfff-4e5a-47df-814a-4c0fea96d621 · outbound

This paper cites Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classiﬁcation.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classiﬁcation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.894429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1042247f-588a-4a9f-9a24-ba4ea10ab4e4 · outbound

This paper cites S., Huang, Y., Xie, X., 2018.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams S., Huang, Y., Xie, X., 2018

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.886474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa630cee-63dc-43b7-a02b-f9e5ffb7fae9 · outbound

This paper cites D., Hager, G.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams D., Hager, G

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:38.878592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 547ee50f-5a57-45f6-bc3c-d9b31b2290d1 · outbound

This paper cites Proceedings.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Proceedings

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:39.228718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c56e48d4-b137-426d-8c92-52e3c00dff03 · outbound

This paper cites Urology 83 (2), 500–507.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Urology 83 (2), 500–507

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:39.097630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6217d2ff-ed73-46fc-b326-1f81ebc0c581 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:12:39.191998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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