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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 110  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-08
14:00
Hokkaido
(Primary: On-site, Secondary: Online)
Cell type-specific tumor degree estimation in malignant lymphoma pathology images
Hiroki Masuda (NITech), Noriaki Hashimoto (RIKEN), Yusuke Takagi (NITech), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi, Kensaku Sato, Koichi Oshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (Nagoya Univ./RIKEN) MI2022-32
In the pathological diagnosis flow of malignant lymphoma, a type of blood cancer, it is important to identify the type o... [more] MI2022-32
pp.1-6
MI 2022-01-26
10:13
Online Online [Short Paper] Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning
Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] MI2021-53
pp.41-42
MI 2022-01-26
16:00
Online Online Report on MICCAI 2021
Hayato Itoh, Masahiro Oda, Chen Shen (Nagoya Univ.), Yoshito Otake (NAIST), Shouhei Hanaoka (Tokyo Univ.), Ken'ichi Morooka (Okayama Univ.), Hidekata Hontani (NITech), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2021-67
In this paper, the outlines of MICCAI 2021 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2021-67
pp.89-99
MI 2022-01-27
13:54
Online Online [Short Paper] Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78
We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] MI2021-78
pp.144-145
MI, MICT [detail] 2021-11-05
11:05
Online Online [Short Paper] Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer
Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] MICT2021-33 MI2021-31
pp.26-27
MI 2021-07-09
11:00
Online Online [Short Paper] Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data
Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT) MI2021-16
In pathological diagnosis of malignant lymphoma, a HE image is observed at first and then a set of immunostained images ... [more] MI2021-16
pp.31-32
MI 2021-05-17
10:00
Online Online [Short Paper] Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation
Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech) MI2021-1
TMS (Transcranial Magnetic Stimulation) is a method which stimulate the neurons in the brain by using a coil. Since stim... [more] MI2021-1
pp.1-2
PRMU 2020-12-17
11:00
Online Online Fast algorithm for low-rank tensor completion in multi-way delay embedded space
Ryuki Yamamoto, Tatsuya Yokota (Nagoya Institute of Tech.), Akira Imakura (Univ. of Tsukuba), Hidekata Hontani (Nagoya Institute of Tech.) PRMU2020-42
In recent years, low-rank tensor completion using delay embedding has been an important technique. In order to capture s... [more] PRMU2020-42
pp.24-29
MI 2020-01-29
10:55
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of a statistical model of human embryonic anatomical landmarks
Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (KU), Hidekata Hontani, Hiroshi Matsuzoe (NIT), Shoko Miyauchi, Ken'ichi Morooka (QU), Akinobu Shimizu (TUAT) MI2019-71
(To be available after the conference date) [more] MI2019-71
pp.29-30
MI 2020-01-30
10:00
Okinawa OKINAWAKEN SEINENKAIKAN Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition
Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech) MI2019-99
In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] MI2019-99
pp.151-154
MI 2020-01-30
10:10
Okinawa OKINAWAKEN SEINENKAIKAN Mutual stain transfer among differently stained pathological images with Extraction of Common Image Features
Hideo Adachi, Mauricio Kugler (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Tatsuya Yokota, Hidekata Hontani (NIT) MI2019-100
 [more] MI2019-100
pp.155-158
MI 2020-01-30
11:00
Okinawa OKINAWAKEN SEINENKAIKAN High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization
Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] MI2019-103
pp.169-174
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN Extracting and Visualization of Essential Features for Staining Translation of Pathological Images
Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116
In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] MI2019-116
pp.215-218
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:20
Okayama   Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma
Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS) PRMU2019-15 MI2019-34
We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input ... [more] PRMU2019-15 MI2019-34
pp.19-24
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
10:35
Okayama   [Short Paper] Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior
Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] PRMU2019-24 MI2019-43
pp.69-70
SIP, MI, IE 2019-05-24
14:25
Aichi   Construction of a Multiscale Model of Pancreastic Tumors by Integration of MR and Pathological Images
Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Hidekata Hontani (NIT) SIP2019-13 IE2019-13 MI2019-13
(To be available after the conference date) [more] SIP2019-13 IE2019-13 MI2019-13
pp.59-60
EST 2019-05-17
15:40
Aichi Nagoya Inst. Tech. [Invited Talk] Simulation Data Driven Construction of Real-Time Estimator of Electric Fields Induced in the Brain by Transcranial Magnetic Stimulation Coil
Hidekata Hontani, Toyohiro Maki, Tatsuya Yokota (NITech), Illkka Laakso (Aalto Univ.), Akimasa Hirata (NITech) EST2019-7
By putting a TMS (Transcranial Magnetic Stimulation) coil on the head, one can electrically stimulate local portions of ... [more] EST2019-7
p.29
MI 2019-01-22
15:05
Okinawa   [Short Paper] Study on subtype classification of malignant lymphoma using immunostaining information
Noriaki Hashimoto, Kaho Ko, Daisuke Fukushima, Tatsuya Yokota (Nagoya Inst. of Tech.), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani (Nagoya Inst. of Tech.) MI2018-83
 [more] MI2018-83
pp.95-96
PRMU, MI, IE, SIP 2018-05-18
09:45
Gifu   Large Deformation Diffeomorphic Metric Mapping of 3D Organ Shape and the Statistical Shape Model on Non-Linear Manifold
Takuya Hashiguti, Shuntaro Monobe, Hidekata Hontani, Tatsuya Yokota (NIT) SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7
In this article,we report on a method that generates a set of corresponding points on the surfaces of target organs in g... [more] SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7
pp.29-34
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
09:50
Okinawa   [Short Paper] Generating multi-resolution model for microscope pathological images of pancreatic cancer using LAPGAN
Tomoshige Shimomura (Nagoya Inst. of Tech.), Tatsuya Yokota, Iwamoto Chika, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Hidekata Hontani (Nagoya Inst. of Tech.) MI2017-64
 [more] MI2017-64
pp.5-6
 Results 1 - 20 of 110  /  [Next]  
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