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Publicações

2022

Portable RGB-D Camera-Based System for Assessing Gait Impairment Progression in ATTRv Amyloidosis

Autores
Vilas Boas, MD; Rocha, AP; Choupina, HMP; Cardoso, MN; Fernandes, JM; Coelho, T; Cunha, JPS;

Publicação
APPLIED SCIENCES-BASEL

Abstract
Hereditary Amyloidosis associated with variant Transthyretin (ATTRv Amyloidosis) is a progressive and highly disabling neurological disorder that affects gait. Quantitative motion analysis is useful for assessing motor function, including gait, in diseases affecting movement. A single markerless RGB-D camera enables 3D full-body motion capture in a less expensive and intrusive, and more portable way than multi-camera marker-based systems. In this study, we examine whether a gait analysis system based on an RGB-D camera can be used to detect significant changes in the gait of ATTRv amyloidosis patients over time, when compared with a 12-camera system. We acquired 3D data provided by both systems from six ATTRv amyloidosis patients, while performing a simple gait task, once (T0) and 18 months later (T1). A direct comparison of systems has already been conducted. In this work, however, for each patient, we investigated if the RGB-D camera system detects statistically significant differences between the two different acquisitions in a similar way to the reference system, and whether it is reliable to use during patients' follow-up. The obtained results show that the differences detected between T0 and T1 for both systems follow the same tendency for 65% of the spatiotemporal gait parameters, and for 38% of the kinematic parameters (38%). The most reliable parameters were: stride duration/length, gait speed (and its variability), and arm/foot swing velocity, all with an almost perfect strength of agreement.

2022

Photonic Crystal Design for Bloch Surface Wave Sensing

Autores
Dias, B; De Almeida, JMMM; Coelho, LCC;

Publicação
Journal of Physics: Conference Series

Abstract
Bloch Surface Waves (BSW) consist of electromagnetic modes generated at the interface between a photonic crystal and an isotropic dielectric. This type of surface mode displays sharp resonances and high sensitivity to external refractive index variations, and thus appears to be an ideal candidate for usage in optical sensors. Nevertheless, design and optimization of photonic crystals is not a trivial task and constitutes an ongoing field of research. The sensitivity of BSW in both refractometric and adsorption sensing is calculated analytically using first-order perturbation theory for TE modes, allowing the understanding of how several physical parameters of the photonic crystal influence the sensitivity. Preliminary experimental results are presented, which aim to use the analytical calculations to allow for both refractometric and adsorption sensing in a single photonic crystal structure. © Published under licence by IOP Publishing Ltd.

2022

Involvement of the Anterior Nucleus of the Thalamus during Focal Automatisms in Epileptic Seizures: A First Evidence Study

Autores
Lopes, EM; Sampaio, AR; Campos, A; Santos, A; Rego, R; Cunha, JPS;

Publicação
2022 44TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC

Abstract
The Anterior Nucleus of Thalamus (ANT) Deep Brain Stimulation (DBS) has long been touted as the most effective DBS-target for interrupting seizures in focal refractory epilepsy patients. The ANT is primarily involved in cognitive tasks but has extensive reciprocal connections with motor-related regions, suggesting that it is also involved in motor-cognitive tasks. In this work, we aimed to assess the involvement of the ANT during voluntary upper limbs movements. For this purpose, we analyzed Local Field Potentials (LFPs) signals recorded during a movement protocol from one of the first epilepsy patients implanted with a Percept™ PC system, who performed a 5-day period of simultaneous video electroencephalography (vEEG) and Percept PC-LFPs recordings. We estimated time-frequency maps and performed event-related desynchronization (ERD) or synchronization (ERS) analysis and we found that synchronizations found in left hemisphere 7-17 Hz map corresponded to maximum hand rotations. Positive peaks on the ERD/ERS curve occurred at a similar frequency of the hand movements (1.09-0.99Hz against 1.27-0.90{Hz}. These results suggested that the ANT may be involved in the execution of automatisms. Moreover, we found that ERD/ERS appeared approximately 2 seconds before the movement onset, as it was found on the EEG of healthy subjects performing the same protocol.

2022

First light for GRAVITY Wide Large separation fringe tracking for the Very Large Telescope Interferometer

Autores
Abuter, R; Allouche, F; Amorim, A; Bailet, C; Baubock, M; Berger, JP; Berio, P; Bigioli, A; Boebion, O; Bolzer, ML; Bonnet, H; Bourdarot, G; Bourget, P; Brandner, W; Clenet, Y; Courtney Barrer, B; Dallilar, Y; Davies, R; Defrere, D; Delboulbe, A; Delplancke, F; Dembet, R; de Zeeuw, PT; Drescher, A; Eckart, A; Edouard, C; Eisenhauer, F; Fabricius, M; Feuchtgruber, H; Finger, G; Schreiber, NMF; Garcia, E; Garcia, P; Gao, F; Gendron, E; Genzel, R; Gil, JP; Gillessen, S; Gomes, T; Gonte, F; Gouvret, C; Guajardo, P; Guieu, S; Hartl, M; Haubois, X; Haussmann, F; Heissel, G; Henning, T; Hippler, S; Honig, S; Horrobin, M; Hubin, N; Jacqmart, E; Jochum, L; Jocou, L; Kaufer, A; Kervella, P; Korhonen, H; Kreidberg, L; Lacour, S; Lagarde, S; Lai, O; Lapeyrere, V; Laugier, R; Le Bouquin, JB; Leftley, J; Lena, P; Lutz, D; Mang, F; Marcotto, A; Maurel, D; Merand, A; Millour, F; More, N; Nowacki, H; Nowak, M; Oberti, S; Ott, T; Pallanca, L; Paumard, T; Perraut, K; Perrin, G; Petrov, R; Pfuhl, O; Pourre, N; Rabien, S; Rau, C; Robbe Dubois, S; Rochat, S; Salman, M; Scholler, M; Schubert, J; Schuhler, N; Shangguan, J; Shimizu, T; Scheithauer, S; Sevin, A; Soulez, F; Spang, A; Stadler, E; Stadler, J; Straubmeier, C; Sturm, E; Tacconi, LJ; Tristram, KRW; Vincent, F; von Fellenberg, S; Uysal, S; Widmann, F; Wieprecht, E; Wiezorrek, E; Woillez, J; Yazici, S; Young, A; Zins, G;

Publicação
ASTRONOMY & ASTROPHYSICS

Abstract
GRAVITY+ is the upgrade for GRAVITY and the Very Large Telescope Interferometer (VLTI) with wide-separation fringe tracking, new adaptive optics, and laser guide stars on all four 8 m Unit Telescopes (UTs) to enable ever-fainter, all-sky, high-contrast, milliarcsecond interferometry. Here we present the design and first results of the first phase of GRAVITY+, known as GRAVITY Wide. GRAVITY Wide combines the dual-beam capabilities of the VLTI and the GRAVITY instrument to increase the maximum separation between the science target and the reference star from 2 arcseconds with the 8 m UTs up to several 10 arcseconds, limited only by the Earth's turbulent atmosphere. This increases the sky-coverage of GRAVITY by two orders of magnitude, opening up milliarcsecond resolution observations of faint objects and, in particular, the extragalactic sky. The first observations in 2019-2022 include the first infrared interferometry of two redshift z similar to 2 quasars, interferometric imaging of the binary system HD 105913A, and repeat observations of multiple star systems in the Orion Trapezium Cluster. We find the coherence loss between the science object and fringe-tracking reference star well described by the turbulence of the Earth's atmosphere. We confirm that the larger apertures of the UTs result in higher visibilities for a given separation due to the broader overlap of the projected pupils on the sky and provide predictions for visibility loss as a function of separation to be used for future planning.

2022

Author Correction: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations (Nature Communications, (2020), 11, 1, (736), 10.1038/s41467-019-13885-w)

Autores
Zhang, Y; Chen, F; Fonseca, NA; He, Y; Fujita, M; Nakagawa, H; Zhang, Z; Brazma, A; Amin, SB; Awadalla, P; Bailey, PJ; Brazma, A; Brooks, AN; Calabrese, C; Chateigner, A; Cortés-Ciriano, I; Craft, B; Craft, D; Creighton, CJ; Davidson, NR; Demircioglu, D; Erkek, S; Fonseca, NA; Frenkel-Morgenstern, M; Goldman, MJ; Greger, L; Göke, J; He, Y; Hoadley, KA; Hou, Y; Huska, MR; Kahles, A; Khurana, E; Kilpinen, H; Korbel, JO; Lamaze, FC; Lehmann, K; Li, C; Li, S; Li, X; Li, X; Liu, D; Liu, F; Liu, X; Marin, MG; Markowski, J; Meyerson, M; Nandi, T; Nielsen, MM; Ojesina, AI; Ouellette, BFF; Pan-Hammarström, Q; Park, PJ; Pedamallu, CS; Pedersen, JS; Perry, MD; Rätsch, G; Schwarz, RF; Shiraishi, Y; Siebert, R; Soulette, CM; Stark, SG; Stegle, O; Su, H; Tan, P; Teh, BT; Urban, L; Wang, J; Waszak, SM; Wu, K; Xiang, Q; Xiong, H; Yakneen, S; Yang, H; Ye, C; Yung, CK; Zhang, F; Zhang, J; Zhang, X; Zhang, Z; Zheng, L; Zhu, J; Zhu, S; Akdemir, KC; Alvarez, EG; Baez-Ortega, A; Beroukhim, R; Boutros, PC; Bowtell, DDL; Brors, B; Burns, KH; Campbell, PJ; Chan, K; Chen, K; Cortés-Ciriano, I; Dueso-Barroso, A; Dunford, AJ; Edwards, PA; Estivill, X; Etemadmoghadam, D; Feuerbach, L; Fink, JL; Frenkel-Morgenstern, M; Garsed, DW; Gerstein, M; Gordenin, DA; Haan, D; Haber, JE; Hess, JM; Hutter, B; Imielinski, M; Jones, DTW; Ju, YS; Kazanov, MD; Klimczak, LJ; Koh, Y; Korbel, JO; Kumar, K; Lee, EA; Lee, JJ; Li, Y; Lynch, AG; Macintyre, G; Markowetz, F; Martincorena, I; Martinez-Fundichely, A; Meyerson, M; Miyano, S; Nakagawa, H; Navarro, FCP; Ossowski, S; Park, PJ; Pearson, JV; Puiggròs, M; Rippe, K; Roberts, ND; Roberts, SA; Rodriguez-Martin, B; Schumacher, SE; Scully, R; Shackleton, M; Sidiropoulos, N; Sieverling, L; Stewart, C; Torrents, D; Tubio, JMC; Villasante, I; Waddell, N; Wala, JA; Weischenfeldt, J; Yang, L; Yao, X; Yoon, S; Zamora, J; Zhang, C; Creighton, CJ; Aaltonen, LA; Abascal, F; Abeshouse, A; Aburatani, H; Adams, DJ; Agrawal, N; Ahn, KS; Ahn, S; Aikata, H; Akbani, R; Akdemir, KC; Al-Ahmadie, H; Al-Sedairy, ST; Al-Shahrour, F; Alawi, M; Albert, M; Aldape, K; Alexandrov, LB; Ally, A; Alsop, K; Alvarez, EG; Amary, F; Amin, SB; Aminou, B; Ammerpohl, O; Anderson, MJ; Ang, Y; Antonello, D; Anur, P; Aparicio, S; Appelbaum, EL; Arai, Y; Aretz, A; Arihiro, K; Ariizumi, S; Armenia, J; Arnould, L; Asa, S; Assenov, Y; Atwal, G; Aukema, S; Auman, JT; Aure, MRR; Awadalla, P; Aymerich, M; Bader, GD; Baez-Ortega, A; Bailey, MH; Bailey, PJ; Balasundaram, M; Balu, S; Bandopadhayay, P; Banks, RE; Barbi, S; Barbour, AP; Barenboim, J; Barnholtz-Sloan, J; Barr, H; Barrera, E; Bartlett, J; Bartolome, J; Bassi, C; Bathe, OF; Baumhoer, D; Bavi, P; Baylin, SB; Bazant, W; Beardsmore, D; Beck, TA; Behjati, S; Behren, A; Niu, B; Bell, C; Beltran, S; Benz, C; Berchuck, A; Bergmann, AK; Bergstrom, EN; Berman, BP; Berney, DM; Bernhart, SH; Beroukhim, R; Berrios, M; Bersani, S; Bertl, J; Betancourt, M; Bhandari, V; Bhosle, SG; Biankin, AV; Bieg, M; Bigner, D; Binder, H; Birney, E; Birrer, M; Biswas, NK; Bjerkehagen, B; Bodenheimer, T; Boice, L; Bonizzato, G; De Bono, JS; Boot, A; Bootwalla, MS; Borg, A; Borkhardt, A; Boroevich, KA; Borozan, I; Borst, C; Bosenberg, M; Bosio, M; Boultwood, J; Bourque, G; Boutros, PC; Bova, GS; Bowen, DT; Bowlby, R; Bowtell, DDL; Boyault, S; Boyce, R; Boyd, J; Brazma, A; Brennan, P; Brewer, DS; Brinkman, AB; Bristow, RG; Broaddus, RR; Brock, JE; Brock, M; Broeks, A; Brooks, AN; Brooks, D; Brors, B; Brunak, S; Bruxner, TJC; Bruzos, AL; Buchanan, A; Buchhalter, I; Buchholz, C; Bullman, S; Burke, H; Burkhardt, B; Burns, KH; Busanovich, J; Bustamante, CD; Butler, AP; Butte, AJ; Byrne, NJ; Børresen-Dale, A; Caesar-Johnson, SJ; Cafferkey, A; Cahill, D; Calabrese, C; Caldas, C; Calvo, F; Camacho, N; Campbell, PJ; Campo, E; Cantù, C; Cao, S; Carey, TE; Carlevaro-Fita, J; Carlsen, R; Cataldo, I; Cazzola, M; Cebon, J; Cerfolio, R; Chadwick, DE; Chakravarty, D; Chalmers, D; Chan, CWY; Chan, K; Chan-Seng-Yue, M; Chandan, VS; Chang, DK; Chanock, SJ; Chantrill, LA; Chateigner, A; Chatterjee, N; Chayama, K; Chen, H; Chen, J; Chen, K; Chen, Y; Chen, Z; Cherniack, AD; Chien, J; Chiew, Y; Chin, S; Cho, J; Cho, S; Choi, JK; Choi, W; Chomienne, C; Chong, Z; Choo, SP; Chou, A; Christ, AN; Christie, EL; Chuah, E; Cibulskis, C; Cibulskis, K; Cingarlini, S; Clapham, P; Claviez, A; Cleary, S; Cloonan, N; Cmero, M; Collins, CC; Connor, AA; Cooke, SL; Cooper, CS; Cope, L; Corbo, V; Cordes, MG; Cordner, SM; Cortés-Ciriano, I; Covington, K; Cowin, PA; Craft, B; Craft, D; Creighton, CJ; Cun, Y; Curley, E; Cutcutache, I; Czajka, K; Czerniak, B; Dagg, RA; Danilova, L; Davi, MV; Davidson, NR; Davies, H; Davis, IJ; Davis-Dusenbery, BN; Dawson, KJ; De La Vega, FM; De Paoli-Iseppi, R; Defreitas, T; Tos, APD; Delaneau, O; Demchok, JA; Demeulemeester, J; Demidov, GM; Demircioglu, D; Dennis, NM; Denroche, RE; Dentro, SC; Desai, N; Deshpande, V; Deshwar, AG; Desmedt, C; Deu-Pons, J; Dhalla, N; Dhani, NC; Dhingra, P; Dhir, R; DiBiase, A; Diamanti, K; Ding, L; Ding, S; Dinh, HQ; Dirix, L; Doddapaneni, H; Donmez, N; Dow, MT; Drapkin, R; Drechsel, O; Drews, RM; Serge, S; Dudderidge, T; Dueso-Barroso, A; Dunford, AJ; Dunn, M; Dursi, LJ; Duthie, FR; Dutton-Regester, K; Eagles, J; Easton, DF; Edmonds, S; Edwards, PA; Edwards, SE; Eeles, RA; Ehinger, A; Eils, J; Eils, R; El-Naggar, A; Eldridge, M; Ellrott, K; Erkek, S; Escaramis, G; Espiritu, SMG; Estivill, X; Etemadmoghadam, D; Eyfjord, JE; Faltas, BM; Fan, D; Fan, Y; Faquin, WC; Farcas, C; Fassan, M; Fatima, A; Favero, F; Fayzullaev, N; Felau, I; Fereday, S; Ferguson, ML; Ferretti, V; Feuerbach, L; Field, MA; Fink, JL; Finocchiaro, G; Fisher, C; Fittall, MW; Fitzgerald, A; Fitzgerald, RC; Flanagan, AM; Fleshner, NE; Flicek, P; Foekens, JA; Fong, KM; Fonseca, NA; Foster, CS; Fox, NS; Fraser, M; Frazer, S; Frenkel-Morgenstern, M; Friedman, W; Frigola, J; Fronick, CC; Fujimoto, A; Fujita, M; Fukayama, M; Fulton, LA; Fulton, RS; Furuta, M; Futreal, PA; Füllgrabe, A; Gabriel, SB; Gallinger, S; Gambacorti-Passerini, C; Gao, J; Gao, S; Garraway, L; Garred, Ø; Garrison, E; Garsed, DW; Gehlenborg, N; Gelpi, JLL; George, J; Gerhard, DS; Gerhauser, C; Gershenwald, JE; Gerstein, M; Gerstung, M; Getz, G; Ghori, M; Ghossein, R; Giama, NH; Gibbs, RA; Gibson, B; Gill, AJ; Gill, P; Giri, DD; Glodzik, D; Gnanapragasam, VJ; Goebler, ME; Goldman, MJ; Gomez, C; Gonzalez, S; Gonzalez-Perez, A; Gordenin, DA; Gossage, J; Gotoh, K; Govindan, R; Grabau, D; Graham, JS; Grant, RC; Green, AR; Green, E; Greger, L; Grehan, N; Grimaldi, S; Grimmond, SM; Grossman, RL; Grundhoff, A; Gundem, G; Guo, Q; Gupta, M; Gupta, S; Gut, IG; Gut, M; Göke, J; Ha, G; Haake, A; Haan, D; Haas, S; Haase, K; Haber, JE; Habermann, N; Hach, F; Haider, S; Hama, N; Hamdy, FC; Hamilton, A; Hamilton, MP; Han, L; Hanna, GB; Hansmann, M; Haradhvala, NJ; Harismendy, O; Harliwong, I; Harmanci, AO; Harrington, E; Hasegawa, T; Haussler, D; Hawkins, S; Hayami, S; Hayashi, S; Hayes, DN; Hayes, SJ; Hayward, NK; Hazell, S; He, Y; Heath, AP; Heath, SC; Hedley, D; Hegde, AM; Heiman, DI; Heinold, MC; Heins, Z; Heisler, LE; Hellstrom-Lindberg, E; Helmy, M; Heo, SG; Hepperla, AJ; Heredia-Genestar, JM; Herrmann, C; Hersey, P; Hess, JM; Hilmarsdottir, H; Hinton, J; Hirano, S; Hiraoka, N; Hoadley, KA; Hobolth, A; Hodzic, E; Hoell, JI; Hoffmann, S; Hofmann, O; Holbrook, A; Holik, AZ; Hollingsworth, MA; Holmes, O; Holt, RA; Hong, C; Hong, EP; Hong, JH; Hooijer, GK; Hornshøj, H; Hosoda, F; Hou, Y; Hovestadt, V; Howat, W; Hoyle, AP; Hruban, RH; Hu, J; Hu, T; Hua, X; Huang, K; Huang, M; Huang, MN; Huang, V; Huang, Y; Huber, W; Hudson, TJ; Hummel, M; Hung, JA; Huntsman, D; Hupp, TR; Huse, J; Huska, MR; Hutter, B; Hutter, CM; Hübschmann, D; Iacobuzio-Donahue, CA; Imbusch, CD; Imielinski, M; Imoto, S; Isaacs, WB; Isaev, K; Ishikawa, S; Iskar, M; Islam, SMA; Ittmann, M; Ivkovic, S; Izarzugaza, JMG; Jacquemier, J; Jakrot, V; Jamieson, NB; Jang, GH; Jang, SJ; Jayaseelan, JC; Jayasinghe, R; Jefferys, SR; Jegalian, K; Jennings, JL; Jeon, S; Jerman, L; Ji, Y; Jiao, W; Johansson, PA; Johns, AL; Johns, J; Johnson, R; Johnson, TA; Jolly, C; Joly, Y; Jonasson, JG; Jones, CD; Jones, DR; Jones, DTW; Jones, N; Jones, SJM; Jonkers, J; Ju, YS; Juhl, H; Jung, J; Juul, M; Juul, RI; Juul, S; Jäger, N; Kabbe, R; Kahles, A; Kahraman, A; Kaiser, VB; Kakavand, H; Kalimuthu, S; von Kalle, C; Kang, KJ; Karaszi, K; Karlan, B; Karlic, R; Karsch, D; Kasaian, K; Kassahn, KS; Katai, H; Kato, M; Katoh, H; Kawakami, Y; Kay, JD; Kazakoff, SH; Kazanov, MD; Keays, M; Kebebew, E; Kefford, RF; Kellis, M; Kench, JG; Kennedy, CJ; Kerssemakers, JNA; Khoo, D; Khoo, V; Khuntikeo, N; Khurana, E; Kilpinen, H; Kim, HK; Kim, H; Kim, H; Kim, H; Kim, J; Kim, J; Kim, JK; Kim, Y; King, TA; Klapper, W; Kleinheinz, K; Klimczak, LJ; Knappskog, S; Kneba, M; Knoppers, BM; Koh, Y; Jan Komorowski; Komura, D; Komura, M; Kong, G; Kool, M; Korbel, JO; Korchina, V; Korshunov, A; Koscher, M; Koster, R; Kote-Jarai, Z; Koures, A; Kovacevic, M; Kremeyer, B; Kretzmer, H; Kreuz, M; Krishnamurthy, S; Kube, D; Kumar, K; Kumar, P; Kumar, S; Kumar, Y; Kundra, R; Kübler, K; Küppers, R; Lagergren, J; Lai, PH; Laird, PW; Lakhani, SR; Lalansingh, CM; Lalonde, E; Lamaze, FC; Lambert, A; Lander, E; Landgraf, P; Landoni, L; Langerød, A; Lanzós, A; Larsimont, D; Larsson, E; Lathrop, M; Lau, LMS; Lawerenz, C; Lawlor, RT; Lawrence, MS; Lazar, AJ; Lazic, AM; Le, X; Lee, D; Lee, D; Lee, EA; Lee, HJ; Lee, JJ; Lee, J; Lee, J; Lee, MTM; Lee-Six, H; Lehmann, K; Lehrach, H; Lenze, D; Leonard, CR; Leongamornlert, DA; Leshchiner, I; Letourneau, L; Letunic, I; Levine, DA; Lewis, L; Ley, T; Li, C; Li, CH; Li, HI; Li, J; Li, L; Li, S; Li, S; Li, X; Li, X; Li, X; Li, Y; Liang, H; Liang, S; Lichter, P; Lin, P; Lin, Z; Linehan, WM; Lingjærde, OC; Liu, D; Liu, EM; Liu, FF; Liu, F; Liu, J; Liu, X; Livingstone, J; Livitz, D; Livni, N; Lochovsky, L; Loeffler, M; Long, GV; Lopez-Guillermo, A; Lou, S; Louis, DN; Lovat, LB; Lu, Y; Lu, Y; Lu, Y; Luchini, C; Lungu, I; Luo, X; Luxton, HJ; Lynch, AG; Lype, L; López, C; López-Otín, C; Ma, EZ; Ma, Y; MacGrogan, G; MacRae, S; 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Publicação
Nature Communications

Abstract
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortiumwere listed in the Supplementary Information; however, these members shouldhave been included in themainpaper.The originalArticle has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. In the PCAWG Transcriptome Working Group, the affiliation ‘BioForA, French National Institute for Agriculture, Food, and Environment (INRAE),ONF,Orléans, France’ for Aurélien Chateignerwas alsomissing. The original Article has been corrected. Additional corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper. © The Author(s) 2022.

2022

Footwear segmentation and recommendation supported by deep learning: an exploratory proposal

Autores
Oliveira, J; Gomes, R; Gonzalez, DG; Sousa, N; Shahrabadi, S; Guevara, M; Ferreira, MJ; Alves, P; Peres, E; Magalhães, L; Adão, T;

Publicação
CENTERIS/ProjMAN/HCist

Abstract
The management of an online footwear retail store-Also known as marketplace-usually involves activities that directly or indirectly end up to interface with customers, wherein communication efficiency and effectiveness is crucially relevant. Critical factors concerning entities developing remote business in these areas or similar include: (i) production of appealing catalogues and (ii) digital tools to shorten the distance between customers and marketplaces. The former requires using specific third parties-often technically complex-To arrange and prepare photographic entries acquired in studio-like environments. This can delay the diffusion of products supply that may result in financial losses. The latter prevents the retailer of reaching critical mass at a higher potential. Considering such issues, this paper proposes a couple of modules for footwear marketplaces, powered by deep learning: one to segment shoes as a fully automatic background removal tool for easing and quickening catalogue creation activities in a back-office perspective; and another to provide visual search services that allow a customer to submit photographs of footwear of interest to obtain recommendations of similar products directly retrieved from online retail databases, establishing another digital bridge with potential buyers. Preliminary implementation and pilot tests point out Mask-RCNN as a promising approach for shoes segmentation. The same applies to ResNet101 and Xception, but for shoes recommendation, based on multi-label classification.

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