statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	866
PL - Polonia	137
CN - Cina	89
DE - Germania	78
IT - Italia	67
UA - Ucraina	63
SG - Singapore	55
HK - Hong Kong	39
GB - Regno Unito	35
RU - Federazione Russa	28
FI - Finlandia	26
FR - Francia	23
IE - Irlanda	16
TR - Turchia	14
BE - Belgio	6
CH - Svizzera	5
VN - Vietnam	4
DK - Danimarca	3
PE - Perù	3
CA - Canada	2
ID - Indonesia	2
IN - India	2
SE - Svezia	2
AL - Albania	1
AZ - Azerbaigian	1
EG - Egitto	1
ES - Italia	1
LI - Liechtenstein	1
LK - Sri Lanka	1
LT - Lituania	1
MA - Marocco	1
NL - Olanda	1
SK - Slovacchia (Repubblica Slovacca)	1
Totale	1.575

Nome	#
FIGARO, Hair Detection and Segmentation in the Wild	239
Shot scale distribution in art films	159
Over-the-shoulder shot detection in art films	148
Size distribution and Sauter mean diameter of micro bubbles for a Venturi type bubble generator	130
Hair detection, segmentation, and hairstyle classification in the wild	127
A Robust Neural Fingerprint of Cinematic Shot-Scale	117
Transfer learning of deep neural network representations for fMRI decoding	100
Robust inter-subject audiovisual decoding in functional magnetic resonance imaging using high-dimensional regression	97
Who is the film's director? Authorship recognition based on shot features	88
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI	78
Deep driven fMRI decoding of visual categories	75
A Fully Volumetric Deep Learning Approach to MRI Brain Segmentation	49
Fighting the Scanner Effect: a Coarse-to-Fine 3D Network for Multi-Site Brain MRI Segmentation	43
Medical image interpretation challenges and research activities of the tAImedIA group at UniBS	42
Fast Brain MRI Segmentation Using a Volumetric Deep Learning Approach	42
Fast brain segmentation of out-of-the-scanner MR 7T volumes using deep learning	38
CEREBRUM-7T: Fast and Fully-volumetric Brain Segmentation of 7 Tesla MR Volumes	20
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data	18
Totale	1.610

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2019/2020	286	0	0	0	0	0	55	57	47	35	56	17	19
2020/2021	244	9	19	12	26	12	27	10	26	26	36	29	12
2021/2022	121	17	15	1	4	1	9	4	7	8	9	14	32
2022/2023	199	15	7	1	15	25	37	0	28	50	0	11	10
2023/2024	190	11	2	11	16	7	28	3	14	50	21	7	20
2024/2025	122	8	5	7	50	23	29	0	0	0	0	0	0
Totale													1.610